Refine GenAI user stories end-to-end, including acceptance criteria and dependencies, ensuring readiness for delivery.
Own the GenAI scope and align with Enterprise Architecture (EA) teams on complexity, feasibility, and estimates.
Assess and validate GenAI impact on architecture, data, security, and operational risks.
Act as the technical partner for GenAI-related decisions, coordination, and implementation guidance.
Required Skills
Strong hands‑on experience with Agentic Development Tools, especially Claude Code, including practical usage of Skills, MCP servers, Rules, and Commands in AI‑augmented development workflows.
Solid understanding of Agentic Systems design patterns and orchestration techniques.
Experience with Python, vector stores, semantic search, prompt engineering, and LLM parameter tuning.
Experience designing and maintaining serverless architectures on...
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