Role: AWS Bedrock Engineering
Level Required for Primary Skill: Advanced (6-9 years experience)
W2 position
Additional Details for Role:
Resource should be willing to relocate or work from Travelers office at one of the location Atlanta, Hartford, St.Paul
Tech Lead — AI Engineering (AWS Bedrock Agent Core)
Responsibilities: Lead architecture and technical direction for agentic AI systems built on AWS Bedrock AgentCore (Runtime, Gateway, Memory, Identity) Design multi-agent orchestration workflows using LangGraph, LangChain, Strands, or CrewAI — tool/function calling, multi-step reasoning, human-in-the-loop patterns Own end-to-end RAG pipeline architecture — chunking, embeddings, vector indexing, retrieval tuning, reranking Drive Terraform-based infrastructure-as-code strategy for AWS AI workloads (Bedrock, Lambda, API Gateway, IAM, VPC, CloudWatch) Build and review production Python services (FastAPI/Flask) exposing agent and RAG capabilities Implement MCP (Model Context Protocol) integrations for secure, standardized tool/agent access Establish evaluation and observability standards (RAGAS, LangSmith, custom eval harnesses) for hallucination detection, latency, and cost tracking Set AI governance standards — guardrails, prompt-injection defense, PII masking, audit logging Lead technical design reviews, architecture decisions, and code reviews across the AI engineering team Mentor and grow a team of AI/ML engineers; own hiring input and technical career development Act as primary technical point of contact with client/business stakeholders on AI architecture decisions Balance hands-on coding with team leadership — expected to remain a strong individual contributor while leading Required Qualifications: 9+ years software engineering experience; 3+ years hands-on production GenAI/agentic AI Direct hands-on experience with AWS Bedrock AgentCore — must be able to speak to specific implementations Strong Python and Terraform expertise Proven experience leading engineers or owning architecture decisions for a team Deep RAG and agent orchestration framework experience (LangGraph/LangChain/CrewAI/Strands) Experience with MCP, vector databases, and LLM evaluation frameworks Track record of client-facing or cross-functional stakeholder communication Preferred: Insurance/claims domain experience Forward Deployed Engineer (FDE) background AWS certifications (AI Practitioner, Solutions Architect, ML Specialty)
Mandatory Skillsets: AWS agent Core, Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTX17ee7d
- Position Id: 1457-33630-1789581365
- Posted 23 hours ago
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