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Pipeline run

02edca94-61a1-4828-bde2-ed8d5667d217

Pipeline LLM cost (USD)
API 1: $0.0034 API 2: $0.0002 API 3: $0.0000 Total: $0.0036

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Cybersecurity Architecture / DevSecOps
Evaluates cybersecurity controls and new technologies, advises technical teams and leaders on risk-driven changes, and helps shape secure architecture using cloud, DevSecOps, threat modeling, and emerging AI/LLM practices.
""Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks""
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.50 / 5
· Title match
Has AI skill
· AI skill (primary)
AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3): LLM, AI, GenAI, Machine Learning, Artificial Intelligence
Evidence — skills matched in JD (10)
Cybersecurity DevSecOps AI pipeline Machine Learning Artificial Intelligence Cloud Native Public Cloud Threat Modeling LLM GenAI
Skill cluster (3 dimension groups, role-scoped)
AI Governance and Model Security
Machine Learning
Threat Modeling and Risk Analysis
Threat Modeling
Cross-cutting / unaligned
Cybersecurity DevSecOps AI pipeline Artificial Intelligence Cloud Native Public Cloud LLM GenAI
Show KRA description ↓
• Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors • Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability • Serves as function-wide subject matter expert in one or more areas of focus • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle • Influences peers and project decision-makers to consider the use and application of leading-edge technologies • Formal training or certification on cybersecurity concepts and 5+ years applied experience • Hands-on practical experience delivering enterprise level cybersecurity solutions and controls • Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.) • Ability to tackle design and functionality problems independently with little to no oversight • Practical cloud native experience • Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture • Ability to read and interpret complicated architecture diagrams • Knowledge of threat modeling • Familiar with DevSecOps, AI pipeline • Familiar with LLM/GenAI design

Signals

Skill
Alias cybersecurity-engineer
1.00
KRA cybersecurity-engineer
0.54

Post-classification

Centroidupdated · n=12
Alias collision log
New-role queue
New skills captured7
New KRA captured

Captured for admin review

Cybersecurity primary Cyber Security Engineer pending
DevSecOps primary Cyber Security Engineer pending
AI pipeline Cyber Security Engineer pending
Cloud Native Cyber Security Engineer pending
Public Cloud Cyber Security Engineer pending
LLM Cyber Security Engineer pending
GenAI Cyber Security Engineer pending
Status: completed Created: 2026-05-27T16:03:25.059265Z Updated: 2026-06-08T23:42:01.382669Z API 3 duration: 12109 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Cyber Security Engineer

CASE A

slug: cybersecurity-engineer · id: 5 · source: db

Exact alias hit on cybersecurity-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
4
Skipped

Job description

Job Description

Play a vital role in shaping the future of an iconic company and make a direct impact in a dynamic environment designed for top achievers.

As a Senior Lead Cybersecurity Architect at JPMorgan Chase within the Cybersecurity & Tech Controls team, you are an integral part of a team that works to develop high-quality cybersecurity solutions for various software applications and platform products. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job Responsibilities

• Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks
• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability
• Serves as function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies


Required Qualifications, Capabilities, And Skills

• Formal training or certification on cybersecurity concepts and 5+ years applied experience
• Hands-on practical experience delivering enterprise level cybersecurity solutions and controls
• Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Practical cloud native experience
• Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture
• Ability to read and interpret complicated architecture diagrams


Preferred Qualifications, Capabilities, And Skills

• Knowledge of threat modeling
• Familiar with DevSecOps, AI pipeline
• Familiar with LLM/GenAI design

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Cybersecurity Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Security Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
DevSecOps Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: DevOps id=1216 · devops

Aliases — catalog

  • DevOps (CANONICAL)

Context tags (catalog)

Agile Ansible Automation CI/CD Cloud-native Continuous Deployment Continuous Integration Docker GitOps Infrastructure as Code Jenkins Kubernetes Microservices Monitoring SRE Terraform

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Devops Methodology
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: DevOps appears in a large share of software and platform engineering job descriptions, often alongside CI/CD, Kubernetes, and cloud tooling; it is a standard hiring-pipeline keyword rather than a niche specialty.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
922
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Release Patterns Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Infrastructure as Code
infrastructure-as-code
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
AI pipeline Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Machine Learning Frameworks
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Machine Learning Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Machine Learning id=1356 · machine-learning

Aliases — catalog

  • Machine Learning (CANONICAL)

Context tags (catalog)

Keras PyTorch TensorFlow cross-validation data preprocessing ensemble methods feature engineering hyperparameter tuning model evaluation natural language processing neural networks reinforcement learning scikit-learn supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Machine Learning
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Machine Learning appears in large volumes of job descriptions across data, product, and platform roles, and major cloud vendors (AWS, Google Cloud, Azure) offer dedicated ML services and certifications, indicating broad adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1024
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • AI Governance and Model Security Catalog dimension db id 50

    Library dimension (catalog)

    Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Artificial Intelligence Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Artificial Intelligence id=1357 · artificial-intelligence

Aliases — catalog

  • Artificial Intelligence (CANONICAL)

Context tags (catalog)

AI ethics PyTorch TensorFlow algorithm optimization computer vision data mining deep learning machine learning model training natural language processing neural networks predictive analytics reinforcement learning supervised learning unsupervised learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Artificial Intelligence
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: AI appears in a large and growing share of job descriptions across software, data, and product roles, and major vendors (Microsoft, Google, AWS) have standardized AI offerings, signaling broad market adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1020
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cloud Native Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
DevOps Tools
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Public Cloud Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Threat Modeling Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: threat modeling id=418 · threat-modeling

Aliases — catalog

  • threat modeling (CANONICAL) primary

Context tags (catalog)

DFD DREAD STRIDE abuse case asset identification asset inventory attack surface attack tree data flow diagram incident response least privilege mitigation mitigation strategies risk assessment risk management security architecture security controls security posture spoofing tampering threat enumeration threat intelligence threat landscape trust boundaries vulnerability analysis

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Threat Modeling Process
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly requested in security/architecture JDs and supported by Microsoft SDL, OWASP, and STRIDE/PASTA training; market signal shows it as a standard secure-design practice rather than a niche tool.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
1367
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Threat Modeling and Risk Analysis Catalog dimension db id 76

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer, Cyber Security Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Threat Modeling and Risk Analysis
threat-modeling-and-risk-analysis
Existing dimension (library) · Role↔dimension saved
LLM Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: LLMs id=1193 · llms

Aliases — catalog

  • LLMs (CANONICAL)

Context tags (catalog)

BERT GPT NLP attention mechanism contextual embeddings fine-tuning language generation model training pre-trained models prompt engineering text classification tokenization transfer learning transformers zero-shot learning

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Large Language Models
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: LLMs are increasingly listed in job descriptions for AI/ML and product roles, and major vendors (OpenAI, Anthropic, Google) are shipping APIs and platforms, but they are not yet universal across engineering hiring.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
903
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
GenAI Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Machine Learning Frameworks
Sub-category
general
Skill nature
CONCEPT
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
DevSecOps new
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
DevSecOps new
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
DevSecOps new
Infrastructure as Code
infrastructure-as-code
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Machine Learning in_db
AI Governance and Model Security
ai-governance-and-model-security
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Machine Learning in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Artificial Intelligence in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Threat Modeling in_db
Threat Modeling and Risk Analysis
threat-modeling-and-risk-analysis
Existing dimension (library) · Role↔dimension saved
LLM new
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Cybersecurity | type=Security Tools subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed AI pipeline | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Native | type=DevOps Tools subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Public Cloud | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed GenAI | type=Machine Learning Frameworks subtype=general nature=CONCEPT lifespan=SHORT_LIVED
dimension_skill_link_proposed DevSecOps ↔ CI/CD Pipeline Platforms
dimension_skill_link_proposed DevSecOps ↔ Deployment and Release Patterns
dimension_skill_link_proposed DevSecOps ↔ Infrastructure as Code
dimension_skill_link_proposed LLM ↔ React Frontend Development
nano JD Parser — gpt-4.1-nano click to toggle
RoleSenior Lead Cybersecurity Architect
CompanyJPMorgan Chase
Experience5+ years applied experience
DomainFinancial Services
JD type pass

Certifications

Formal training or certification on cybersecurity concepts
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [
    "Formal training or certification on cybersecurity concepts"
  ],
  "company_name": "JPMorgan Chase",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "FinTech",
        "Banking"
      ],
      "domain": "Financial Services"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "5+ years applied experience"
  },
  "job_locations": [],
  "role": "Senior Lead Cybersecurity Architect",
  "role_aliases": [
    "Cybersecurity Architect",
    "Lead Cybersecurity Architect",
    "Cybersecurity Engineer"
  ],
  "role_archetype": "Security",
  "roles_and_responsibilities": [
    {
      "bullet_count": 6,
      "heading": "Job Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Guides the evaluation of",
        "last_5_words": "use and application of leading-edge technologies"
      },
      "text": "\u2022 Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks\n\u2022 Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n\u2022 Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability\n\u2022 Serves as function-wide subject matter expert in one or more areas of focus\n\u2022 Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n\u2022 Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
      "word_count": 90
    },
    {
      "bullet_count": 7,
      "heading": "Required Qualifications, Capabilities, And Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Formal training or certification",
        "last_5_words": "read and interpret complicated architecture diagrams"
      },
      "text": "\u2022 Formal training or certification on cybersecurity concepts and 5+ years applied experience\n\u2022 Hands-on practical experience delivering enterprise level cybersecurity solutions and controls\n\u2022 Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)\n\u2022 Ability to tackle design and functionality problems independently with little to no oversight\n\u2022 Practical cloud native experience\n\u2022 Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture\n\u2022 Ability to read and interpret complicated architecture diagrams",
      "word_count": 104
    },
    {
      "bullet_count": 3,
      "heading": "Preferred Qualifications, Capabilities, And Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Knowledge of threat modeling",
        "last_5_words": "Familiar with LLM/GenAI design"
      },
      "text": "\u2022 Knowledge of threat modeling\n\u2022 Familiar with DevSecOps, AI pipeline\n\u2022 Familiar with LLM/GenAI design",
      "word_count": 22
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Cybersecurity"
    },
    {
      "is_primary": true,
      "skill_name": "DevSecOps"
    },
    {
      "is_primary": false,
      "skill_name": "AI pipeline"
    },
    {
      "is_primary": false,
      "skill_name": "Machine Learning"
    },
    {
      "is_primary": false,
      "skill_name": "Artificial Intelligence"
    },
    {
      "is_primary": false,
      "skill_name": "Cloud Native"
    },
    {
      "is_primary": false,
      "skill_name": "Public Cloud"
    },
    {
      "is_primary": false,
      "skill_name": "Threat Modeling"
    },
    {
      "is_primary": false,
      "skill_name": "LLM"
    },
    {
      "is_primary": false,
      "skill_name": "GenAI"
    }
  ],
  "jd_role": {
    "display_name": "Senior Lead Cybersecurity Architect",
    "rationale": null,
    "role_aliases": [
      "Cybersecurity Architect",
      "Lead Cybersecurity Architect",
      "Cybersecurity Engineer"
    ],
    "role_archetype": "Security",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [
      "Formal training or certification on cybersecurity concepts"
    ],
    "company_name": "JPMorgan Chase",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
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        ],
        "domain": "Financial Services"
      },
      "secondary": null
    },
    "education": [],
    "experience": {
      "max": null,
      "min": 5,
      "raw": "5+ years applied experience"
    },
    "job_locations": [],
    "role": "Senior Lead Cybersecurity Architect",
    "role_aliases": [
      "Cybersecurity Architect",
      "Lead Cybersecurity Architect",
      "Cybersecurity Engineer"
    ],
    "role_archetype": "Security",
    "roles_and_responsibilities": [
      {
        "bullet_count": 6,
        "heading": "Job Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Guides the evaluation of",
          "last_5_words": "use and application of leading-edge technologies"
        },
        "text": "\u2022 Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks\n\u2022 Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n\u2022 Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability\n\u2022 Serves as function-wide subject matter expert in one or more areas of focus\n\u2022 Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n\u2022 Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
        "word_count": 90
      },
      {
        "bullet_count": 7,
        "heading": "Required Qualifications, Capabilities, And Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Formal training or certification",
          "last_5_words": "read and interpret complicated architecture diagrams"
        },
        "text": "\u2022 Formal training or certification on cybersecurity concepts and 5+ years applied experience\n\u2022 Hands-on practical experience delivering enterprise level cybersecurity solutions and controls\n\u2022 Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g., public cloud, artificial intelligence, machine learning, mobile, etc.)\n\u2022 Ability to tackle design and functionality problems independently with little to no oversight\n\u2022 Practical cloud native experience\n\u2022 Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture\n\u2022 Ability to read and interpret complicated architecture diagrams",
        "word_count": 104
      },
      {
        "bullet_count": 3,
        "heading": "Preferred Qualifications, Capabilities, And Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Knowledge of threat modeling",
          "last_5_words": "Familiar with LLM/GenAI design"
        },
        "text": "\u2022 Knowledge of threat modeling\n\u2022 Familiar with DevSecOps, AI pipeline\n\u2022 Familiar with LLM/GenAI design",
        "word_count": 22
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "02edca94-61a1-4828-bde2-ed8d5667d217",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 5,
        "score": 1.0,
        "slug": "cybersecurity-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Cyber Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Defines secure engineering standards, secure coding guidelines, threat intelligence feeds, and compliance requirements for the organization.",
            "sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
            "similarity": 0.5699
          },
          {
            "kra_text": "Designs and implements security controls including SIEM integration, endpoint detection and response, identity management, and firewall rule management.",
            "sentence": "Hands-on practical experience delivering enterprise level cybersecurity solutions and controls",
            "similarity": 0.5552
          },
          {
            "kra_text": "Performs threat modeling, security architecture reviews, and quantitative risk analysis for new product features and infrastructure changes.",
            "sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
            "similarity": 0.486
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 5,
        "score": 0.537,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Architect",
        "kra_matches": [
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
            "similarity": 0.5789
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Ability to evaluate current and emerging technologies to select or recommend the best solutions for the future state architecture",
            "similarity": 0.5109
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
            "similarity": 0.5002
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 9,
        "score": 0.53,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Engineering Manager",
        "kra_matches": [
          {
            "kra_text": "facilitate technical and delivery decisions",
            "sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
            "similarity": 0.5714
          },
          {
            "kra_text": "manage stakeholder alignment and tradeoffs",
            "sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
            "similarity": 0.4954
          },
          {
            "kra_text": "facilitate technical and delivery decisions",
            "sentence": "Influences peers and project decision-makers to consider the use and application of leading-edge technologies",
            "similarity": 0.4928
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 121,
        "score": 0.5198,
        "slug": "engineering-manager",
        "total_count": null
      },
      {
        "display_name": "Cloud Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Assesses security risk and compliance posture of new cloud services, third-party SaaS integrations, and infrastructure architecture changes.",
            "sentence": "Guides the evaluation of current cybersecurity principals, processes, and controls, and leads the evaluation of new technology using existing standards and frameworks",
            "similarity": 0.5453
          },
          {
            "kra_text": "Designs and implements cloud security controls including KMS encryption, secrets management, and data-at-rest protection for AWS, Azure, or GCP workloads.",
            "sentence": "Hands-on practical experience delivering enterprise level cybersecurity solutions and controls",
            "similarity": 0.5142
          },
          {
            "kra_text": "Documents cloud security standards, approved architecture patterns, security exceptions, and remediation guidance for engineering teams.",
            "sentence": "Advanced knowledge of cybersecurity architecture, applications, and technical processes with considerable, in-depth knowledge in one or more technical disciplines (e.g. , public cloud, artificial intelligence, machine learning, mobile, etc. )",
            "similarity": 0.4833
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 23,
        "score": 0.5142,
        "slug": "cloud-security-engineer",
        "total_count": null
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle",
            "similarity": 0.5242
          },
          {
            "kra_text": "Writes runbooks, deployment guides, incident playbooks, and infrastructure documentation to support operations and knowledge sharing.",
            "sentence": "Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors",
            "similarity": 0.4538
          },
          {
            "kra_text": "Responds to deployment failures, infrastructure incidents, and environment misconfiguration issues to restore service availability and prevent recurrence.",
            "sentence": "Works with stakeholders and senior leaders to recommend business modifications during periods of vulnerability",
            "similarity": 0.4416
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 10,
        "score": 0.4732,
        "slug": "devops-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": []
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "Cyber Security Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 5,
      "score": 1.0,
      "slug": "cybersecurity-engineer",
      "total_count": null
    },
    "confidence": 1.0,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Exact alias hit on cybersecurity-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 12,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 18031,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "Cybersecurity",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 18032,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "DevSecOps",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 18033,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "AI pipeline",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 18034,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "Cloud Native",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 18035,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "Public Cloud",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 18036,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "LLM",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 18037,
        "role_display_name": "Cyber Security Engineer",
        "role_slug": "cybersecurity-engineer",
        "skill_name": "GenAI",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
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    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 1852,
      "existing_alias_text": "DevOps",
      "input_term": "DevSecOps",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "DevOps",
        "id": 1216,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "devops",
        "sub_category_id": 922,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2015,
      "existing_alias_text": "Machine Learning",
      "input_term": "Machine Learning",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Machine Learning",
        "id": 1356,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "machine-learning",
        "sub_category_id": 1024,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2016,
      "existing_alias_text": "Artificial Intelligence",
      "input_term": "Artificial Intelligence",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "Artificial Intelligence",
        "id": 1357,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "artificial-intelligence",
        "sub_category_id": 1020,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 734,
      "existing_alias_text": "threat modeling",
      "input_term": "Threat Modeling",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "threat modeling",
        "id": 418,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "threat-modeling",
        "sub_category_id": 1367,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": 1829,
      "existing_alias_text": "LLMs",
      "input_term": "LLM",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "LLMs",
        "id": 1193,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "llms",
        "sub_category_id": 903,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "matched_via": "embedding_alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "DevOps Engineer",
      "id": 10,
      "rationale": null,
      "role_archetype": null,
      "slug": "devops-engineer",
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    },
    {
      "display_name": "Cloud Architect",
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      "slug": "cloud-architect",
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    },
    {
      "display_name": "AI Engineer",
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      "slug": "ai-engineer",
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    },
    {
      "display_name": "ML Engineer",
      "id": 3,
      "rationale": null,
      "role_archetype": null,
      "slug": "ml-engineer",
      "source": "db"
    },
    {
      "display_name": "MLOps Engineer",
      "id": 16,
      "rationale": null,
      "role_archetype": null,
      "slug": "ml-ops-engineer",
      "source": "db"
    },
    {
      "display_name": "Cloud Security Engineer",
      "id": 23,
      "rationale": null,
      "role_archetype": null,
      "slug": "cloud-security-engineer",
      "source": "db"
    },
    {
      "display_name": "Cyber Security Engineer",
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      "role_archetype": null,
      "slug": "cybersecurity-engineer",
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    }
  ],
  "chosen_role": {
    "display_name": "Cyber Security Engineer",
    "id": 5,
    "rationale": "Exact alias hit on cybersecurity-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "cybersecurity-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "CI/CD Pipeline Platforms",
        "id": 150,
        "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
        "slug": "ci-cd-pipeline-platforms",
        "source": "db"
      },
      "input_skill": "DevSecOps",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "DevOps Engineer",
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          "rationale": null,
          "role_archetype": null,
          "slug": "devops-engineer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Deployment and Release Patterns",
        "id": 140,
        "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
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        "source": "db"
      },
      "input_skill": "DevSecOps",
      "llm_role": null,
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        {
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          "slug": "cloud-architect",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Infrastructure as Code",
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        "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
        "slug": "infrastructure-as-code",
        "source": "db"
      },
      "input_skill": "DevSecOps",
      "llm_role": null,
      "roles_from_db": [
        {
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          "slug": "cloud-architect",
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        },
        {
          "display_name": "DevOps Engineer",
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          "slug": "devops-engineer",
          "source": "db"
        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "AI Governance and Model Security",
        "id": 50,
        "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
        "slug": "ai-governance-and-model-security",
        "source": "db"
      },
      "input_skill": "Machine Learning",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "AI Engineer",
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        },
        {
          "display_name": "ML Engineer",
          "id": 3,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-engineer",
          "source": "db"
        },
        {
          "display_name": "MLOps Engineer",
          "id": 16,
          "rationale": null,
          "role_archetype": null,
          "slug": "ml-ops-engineer",
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        }
      ]
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "React Frontend Development",
        "id": 96,
        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Machine Learning",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
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        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "Artificial Intelligence",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Threat Modeling and Risk Analysis",
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        "rationale": "Structured analysis of assets, threats, attack paths, and control gaps to prioritize security work. This dimension is distinct because it drives design decisions before incidents occur and informs remediation priorities.",
        "slug": "threat-modeling-and-risk-analysis",
        "source": "db"
      },
      "input_skill": "Threat Modeling",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cloud Security Engineer",
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          "slug": "cloud-security-engineer",
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        },
        {
          "display_name": "Cyber Security Engineer",
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          "slug": "cybersecurity-engineer",
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        }
      ]
    },
    {
      "dimension": {
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        "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
        "slug": "d_init_01",
        "source": "db"
      },
      "input_skill": "LLM",
      "llm_role": null,
      "roles_from_db": []
    }
  ],
  "input_final_skills": [
    "Cybersecurity",
    "DevSecOps",
    "AI pipeline",
    "Machine Learning",
    "Artificial Intelligence",
    "Cloud Native",
    "Public Cloud",
    "Threat Modeling",
    "LLM",
    "GenAI"
  ],
  "input_llm_skills": [
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    "DevSecOps",
    "AI pipeline",
    "Machine Learning",
    "Artificial Intelligence",
    "Cloud Native",
    "Public Cloud",
    "Threat Modeling",
    "LLM",
    "GenAI"
  ],
  "new_aliases_persisted": 0,
  "run_id": "02edca94-61a1-4828-bde2-ed8d5667d217",
  "skills_detail": [
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cybersecurity",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Security Tools",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
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          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
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        "skill_id": "cybersecurity",
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        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
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          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
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        "is_also_category": false,
        "is_extractable": true,
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        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
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            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
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            "source": "db"
          },
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            }
          ]
        },
        {
          "dimension": {
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            "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
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          ]
        },
        {
          "dimension": {
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            "display_name": "Infrastructure as Code",
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            "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
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            "source": "db"
          },
          "input_skill": "DevSecOps",
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            },
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              "slug": "devops-engineer",
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            }
          ]
        }
      ],
      "input_skill": "DevSecOps",
      "matched_via": "embedding_alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "AI pipeline",
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      "new_alias_persisted": false,
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      "new_skill_meta": {
        "derived": {
          "category": "Machine Learning Frameworks",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
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        "keep_log": [],
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        "skill_id": "ai-pipeline",
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        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
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          "id": 2015,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Machine Learning",
        "id": 1356,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "machine-learning",
        "sub_category_id": 1024,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "AI Governance and Model Security",
            "id": 50,
            "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
            "slug": "ai-governance-and-model-security",
            "source": "db"
          },
          "input_skill": "Machine Learning",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "AI Engineer",
              "id": 13,
              "rationale": null,
              "role_archetype": null,
              "slug": "ai-engineer",
              "source": "db"
            },
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            },
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Machine Learning",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Machine Learning",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Artificial Intelligence",
          "alias_type": "CANONICAL",
          "id": 2016,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Artificial Intelligence",
        "id": 1357,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "artificial-intelligence",
        "sub_category_id": 1020,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Artificial Intelligence",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Artificial Intelligence",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cloud Native",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "DevOps Tools",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cloud-native",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Public Cloud",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "public-cloud",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "threat modeling",
          "alias_type": "CANONICAL",
          "id": 734,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "threat modeling",
        "id": 418,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "threat-modeling",
        "sub_category_id": 1367,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Threat Modeling and Risk Analysis",
            "id": 76,
            "rationale": "Structured analysis of assets, threats, attack paths, and control gaps to prioritize security work. This dimension is distinct because it drives design decisions before incidents occur and informs remediation priorities.",
            "slug": "threat-modeling-and-risk-analysis",
            "source": "db"
          },
          "input_skill": "Threat Modeling",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            },
            {
              "display_name": "Cyber Security Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Threat Modeling",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "LLMs",
          "alias_type": "CANONICAL",
          "id": 1829,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "LLMs",
        "id": 1193,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "llms",
        "sub_category_id": 903,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "LLM",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "LLM",
      "matched_via": "embedding_alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "GenAI",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Machine Learning Frameworks",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "genai",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Cybersecurity",
    "AI pipeline",
    "Cloud Native",
    "Public Cloud",
    "GenAI"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Cyber Security Engineer",
    "id": 5,
    "rationale": "Exact alias hit on cybersecurity-engineer (1.0) \u2014 no other alias at this confidence; skill_top absent does not contradict",
    "role_archetype": null,
    "slug": "cybersecurity-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Cybersecurity",
      "tag": "new"
    },
    {
      "skill": "DevSecOps",
      "tag": "in_db"
    },
    {
      "skill": "AI pipeline",
      "tag": "new"
    },
    {
      "skill": "Machine Learning",
      "tag": "in_db"
    },
    {
      "skill": "Artificial Intelligence",
      "tag": "in_db"
    },
    {
      "skill": "Cloud Native",
      "tag": "new"
    },
    {
      "skill": "Public Cloud",
      "tag": "new"
    },
    {
      "skill": "Threat Modeling",
      "tag": "in_db"
    },
    {
      "skill": "LLM",
      "tag": "in_db"
    },
    {
      "skill": "GenAI",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "DevSecOps",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Deployment and Release Patterns",
          "id": 140,
          "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
          "slug": "deployment-and-release-patterns",
          "source": "db"
        },
        "dimension_id": 140,
        "input_skill": "DevSecOps",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Infrastructure as Code",
          "id": 132,
          "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
          "slug": "infrastructure-as-code",
          "source": "db"
        },
        "dimension_id": 132,
        "input_skill": "DevSecOps",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          },
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "AI Governance and Model Security",
          "id": 50,
          "rationale": "Controls and documentation used to make models safer, auditable, and compliant. ML engineers use this to manage model risk, supply chain integrity, and governance requirements.",
          "slug": "ai-governance-and-model-security",
          "source": "db"
        },
        "dimension_id": 50,
        "input_skill": "Machine Learning",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "AI Engineer",
            "id": 13,
            "rationale": null,
            "role_archetype": null,
            "slug": "ai-engineer",
            "source": "db"
          },
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Machine Learning",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1356,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Artificial Intelligence",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1357,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Threat Modeling and Risk Analysis",
          "id": 76,
          "rationale": "Structured analysis of assets, threats, attack paths, and control gaps to prioritize security work. This dimension is distinct because it drives design decisions before incidents occur and informs remediation priorities.",
          "slug": "threat-modeling-and-risk-analysis",
          "source": "db"
        },
        "dimension_id": 76,
        "input_skill": "Threat Modeling",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          },
          {
            "display_name": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 418,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "LLM",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 4
  },
  "planner_output": null,
  "run_id": "02edca94-61a1-4828-bde2-ed8d5667d217"
}