Engagement Architect (Agentic AI / RAG)

**Exp. Required: 15 years+

Note- We need someone AI Architect candidates, Python with Lang Graph, Agentic AI, AWS Bedrock, DevOps and build/providing solution**

• Agentic AI architecture; spec-driven development; agent harness design and evaluation; multi-agent orchestration patterns; Retrieval-Augmented Reasoning; semantic enrichment and knowledge graph integration; prompt engineering; identity-as-code and policy-as-code; design-time and runtime governance; cloud platforms (AWS and GCP); enterprise security architecture patterns
• End-to-end agentic AI architecture, design-to-code conversion, security-platform architecture patterns, hands-on review across AWS and GCP, alignment with enterprise standards. Build the supervisor, intake, and data-source-level agents; implement React-pattern reasoning loops; design and tune the retrieval pipeline; lead prompt and evaluation engineering.
• Own architecture and diagrams; collaborate closely within the client’s designated technical stakeholders on design decisions; oversee design-to-code conversion and testing; chair architecture review forums.