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Pipeline run

5817cceb-236f-4fc9-9112-05cb632d0c0a

Pipeline LLM cost (USD)

API 1: $0.0000 API 2: $0.0000 API 3: $0.0000 Total: $0.0000

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

SPARSE JD

Nature of work

—

no_db_connection

Tech stack maturity

Mainstream Modern

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

0.20 / 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): AI, Generative AI, Machine Learning, Artificial Intelligence

Evidence — skills matched in JD (0)

No skills extracted

Skill cluster (0 dimension groups, role-scoped)

No dimension groups computed for this JD.

Status: extract_from_jd_done Created: 2026-05-22T00:47:49.489233Z Updated: 2026-05-22T00:47:49.489233Z

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

No chosen role stored for this run.

Job description

Job Title: Solution Architect Application with Generative AI-Part Time Trainer

Company Description
Patch the Skill is a leading provider of corporate and technical training, offering a wide range of programs including Artificial Intelligence, Machine Learning, Cloud Computing, Data Science, IoT, Industry 4.0, DevOps, Blockchain, and more. The organization specializes in equipping professionals with practical skills through industry-specific training in areas such as software development, data engineering, and financial services. With expertise in both technical and soft skills, Patch the Skill focuses on empowering individuals and teams to excel in their careers. Their trainings are designed to meet the evolving demands of various industries, leveraging cutting-edge technologies and best practices.

Role Description
This is a part-time, remote role for a Solution Architect Application with expertise in Generative AI. The trainer will be responsible for designing and delivering high-quality training programs related to solution architecture, consulting, software development, and integration within the context of Generative AI. Responsibilities include preparing course materials, conducting interactive virtual sessions, guiding learners through real-world use cases, and providing support to enhance their understanding of complex concepts.

Qualifications
• Expertise in Solution Architecture, including designing and implementing scalable, reliable, and efficient architecture solutions.
• Strong background in Consulting, with skills in stakeholder management and translating client requirements into technical solutions.
• Proficiency in Software Development, with experience in coding, software lifecycle, and development methodologies.
• Knowledge of Integration processes, including API design, connecting diverse systems, and workflow automation.
• Understanding of Business Processes and the ability to align technical solutions with organizational goals.
• Strong communication and presentation skills for effectively training and mentoring professionals.
• Prior experience in training or teaching technology-related topics is beneficial.
• A bachelor’s or master’s degree in Computer Science, Information Technology, or a related field is preferred.

Library artifacts (this run)

No artifact rows for this run.

API 1 — extract-from-jd click to toggle

{
  "final_skills": [],
  "jd_role": {
    "display_name": "Solution Architect Application with Generative AI-Part Time Trainer",
    "rationale": "non-tech title pattern matched (\u0027part time trainer\u0027) \u2014 strong",
    "role_aliases": [],
    "role_archetype": "Other",
    "slug": ""
  },
  "nano_parsed": null,
  "rejected": true,
  "rejection_reason": "Non-tech JD: non-tech title pattern matched (\u0027part time trainer\u0027) \u2014 strong",
  "run_id": null,
  "stage3_signals": null,
  "stage4_decision": null,
  "stage5_updates": null
}

API 2 — extract-details

{}

API 3 — final-role-output

{}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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