Responsibilities

• 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...