Agentic AI Architect

🎯We are looking for a senior AWS Agentic AI Solution Architect to architect and deliver large-scale, production-grade multi-agent solutions for complex enterprise use cases. You will combine architecture leadership with hands-on expertise in Amazon Bedrock, Amazon Bedrock AgentCore, LangGraph or Strands Agents SDK, MCP, A2A, workflow-as-code, IaC, and AgentOps.

🔎What you bring:

• Across AWS, enterprise integration, data, security, and production GenAI or agentic AI delivery.
• Runtime, Memory, Gateway, Identity, Policy, Evaluations, Observability, Knowledge Bases, and Guardrails.
• Іncluding platform architecture, reusable services, runtime and orchestration, shared context, memory, tool integration, and human oversight.
• Іncluding supervisor-worker, hub-and-spoke, sequential, parallel, planner, maker-checker, critic loop, and event-driven collaboration.
• Strong client-facing leadership across discovery, target architecture, roadmaps, design reviews, estimates, proposals, and engineering guidance.
• AWS Certified Generative AI Developer - Professional and AWS Certified Solutions Architect - Professional.
• EU work permit is required. 
  
  

• Design agent roles, collaboration patterns, orchestration, models, memory, RAG, tool integration, identity, security, and human control.
• Lead end-to-end delivery from discovery and proof of value through production rollout and scaling across business domains.
• Reusable architecture patterns, guiding multidisciplinary teams through implementation, review, rollout, and operation.

Typical use cases

• Large-scale multi-agent workflows that coordinate specialist agents, enterprise tools, and human approvals.
• Agentic RAG, Talk2Document, and Talk2Data solutions with governed access, grounding, and traceability.
• Cross-domain automation requiring reusable agents, event-driven execution, long-running tasks, and secure integration with enterprise systems.