Role overview
We are seeking a Senior Agentic AI Engineer to design, build, and optimize production-grade agentic AI solutions using large language models, advanced reasoning frameworks, and cloud-native architectures. This role will focus on building intelligent, scalable, and observable AI systems on AWS, with strong emphasis on AWS Bedrock AgentCore, multi-agent orchestration, A2A/MCP integration, RAG, NL2SQL, and end-to-end deployment of enterprise AI capabilities. This aligns with the core responsibilities and technologies listed in your draft, including Bedrock AgentCore components, A2A/MCP servers, Strands Agents, observability, LLM engineering, vector retrieval, and agent frameworks.
What you'll work on
- Design, build, and optimize agentic AI applications and product features using AWS Bedrock AgentCore
- Develop serverless, scalable, and production-ready AI architectures on AWS
- Implement and operate A2A and MCP servers on AWS, and integrate them with Bedrock Agents and Converse APIs
- Orchestrate multi-agent workflows and reasoning pipelines using frameworks such as Strands Agents
- Build robust observability and auditability into agent systems using CloudWatch metrics, traces, and logs
- Develop and improve NL2SQL / Text-to-SQL pipelines using LLMs and AI/ML techniques
- Design and optimize RAG pipelines using vector databases, embeddings, and structured/unstructured enterprise data
- Integrate AI systems with data connectors, APIs, and gateway services to enable seamless enterprise workflows
- Partner with product managers, data engineers, UX teams, and stakeholders to deliver measurable business impact
- Contribute to the AI roadmap, solution design, evaluation standards, and production deployment best practices
What we're looking for
- Experience with fine-tuning workflows or LLM adaptation strategies
- Exposure to agent governance, evaluation frameworks, and AI safety/guardrails
- Experience supporting data-driven transformation initiatives across business teams
- Prior experience in highly collaborative, research-driven, or innovation-led engineering environments
Tags & focus areas
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