Lead/Architect GenAI Adoption (freelance, part-time)

50 - 60 USD/ godz./ godz.B2BB2B (netto)

C-Level / ManagerZdalnie·KrakówPart-time·B2B

#466119·Dodano 3 dni temu·5

Źródło: justjoin.it

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Tech Stack / Keywords

AIGenAIAI SDLCRAGLLM PythonAI Agents

Podsumowanie oferty

Lead discovery and early implementation for an enterprise AI-assisted SDLC transformation for a global healthcare organization. Shape the architecture and lead agentic workflows using GenAI, LLMs, RAG, and AI agents with engineering teams.

Wymagania

Required Skills & Experience:

8+ years of experience in software engineering, solution architecture, engineering leadership, or technical consulting, with a strong recent focus on Generative AI.
Proven experience leading GenAI adoption, AI-assisted SDLC transformation, or enterprise AI engineering initiatives.
Strong hands-on knowledge of LLMs, RAG, AI agents, agentic workflows, prompt/context engineering, tool calling, and multi-agent systems.
Experience designing enterprise GenAI architectures, including agent orchestration, knowledge/context integration, guardrails, evaluation, observability, and human-in-the-loop patterns.
Hands-on experience with AI engineering tools such as Claude Code, GitHub Copilot, Cursor, OpenAI Codex, or similar.
Strong understanding of software architecture, SDLC, CI/CD, APIs, cloud environments, and enterprise integrations.
Experience leading technical discovery, architecture assessments, gap analysis, and roadmap definition.
Experience designing and integrating AI agents into real engineering workflows.
Understanding of AI governance, security, telemetry, auditability, and responsible AI practices.
Ability to define measurable engineering and AI adoption metrics and evaluate outcomes.
Strong leadership, workshop facilitation, stakeholder management, and presentation skills.
Ability to independently structure ambiguous initiatives and turn high-level transformation goals into actionable technical solutions.

Nice to have:

Experience implementing AI governance in regulated enterprise environments.
Experience in pharma, healthcare, or other highly regulated industries.

Obowiązki

Key Responsibilities:

Lead technical discovery and an AI adoption assessment with engineering teams and stakeholders, evaluating the current SDLC, AI usage, architecture, tooling, processes, and team readiness.
Assess the existing AI/agentic engineering framework, identify technical and adoption gaps, and define the target state.
Define the GenAI solution architecture and implementation approach, including integrations with engineering environments, repositories, Jira, Confluence, CI/CD, and related systems.
Translate discovery findings into a prioritized transformation roadmap, including dependencies, risks, architecture decisions, and implementation priorities.
Define measurable success criteria, select an anchor project and pilot workflows, and establish the baseline for measuring AI impact.
Lead the design and implementation of agentic workflows, including agents, prompts/skills, context and tool access, guardrails, human-in-the-loop controls, quality gates, and model routing.
Define the approach to AI governance, evaluation, observability, telemetry, and auditability with security, architecture, and compliance stakeholders.
Lead pilot execution end-to-end, validate results against agreed metrics, and turn learnings into reusable AI engineering practices.

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