AWS Gen AI Architect
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Role details
Tech stack
Job description
We are looking for a hands-on AWS GenAI Architect to work directly with customer business and technical teams to convert ambiguous business problems into production-ready AI agents and agentic workflows.
This is a hands-on builder role involving discovery, solution design, development, deployment, testing, and continuous refinement. Candidates who have primarily worked in advisory, high-level architecture, or program management without hands-on development will not be a fit.
Requirements
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Agent Engineering * Hands-on experience building Agentic AI / AI Agents * Strong experience with LangGraph, CrewAI, or similar agent/workflow orchestration frameworks * Building autonomous, multi-step agent workflows * Tool/API integration and tool contract design, including input/output handling and failure scenarios * Strong RAG / retrieval engineering experience for accurate context injection * Experience implementing observability, security, reliability, and guardrails for production AI solutions
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AI Workflow Design & Delivery * Hands-on experience designing, building, and deploying GenAI/agentic workflows * Ability to conduct discovery workshops with business and technical stakeholders * Current-state process mapping and identification of AI/automation opportunities * Agent testing, troubleshooting, evaluation, and iterative refinement based on requirements and user feedback * Strong customer-facing communication skills
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Prepare application
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