Role descriptionJob Title: AI Tech LeadLocation : Hartford, CT (Onsite - Hybrid)Job DescriptionKey Responsibilities
- Lead the design and implementation of AI first and agentic AI solutions for the strategic modernization
- Build and integrate LLM based reasoning capabilities into claim and operational workflows to improve efficiency and reduce manual effort
- Design and implement multiagent orchestration patterns using enterprise standard AI frameworks
- Develop scalable Python based AI services APIs MCP servers and automation components
- Implement RAG based solutions using embeddings vector stores and enterprise knowledge sources
- Create and manage version controlled prompts using prompt management practices
- Establish AI quality validation through response evaluation grounding checks and output testing
- Ensure AI security controls including PII detection guardrails and prompt injection defense
- Collaborate with engineering architecture product and delivery teams to convert AI concepts into production ready capabilities
- Provide technical leadership to developers and engineers working on AI native use cases
- Support CICD infrastructure automation observability and production readiness practices
- Partner with stakeholders during technical screening solution walkthroughs and onboarding into PI delivery cycles
Required Technical Skills
- AI Agentic AI
- Strong handson experience in LLM application development
- Agentic AI design and implementation experience
- Multiagent orchestration experience
- Prompt engineering and prompt lifecycle management
- AI evaluation and response quality validation
- Experience with secure AI design including guardrails and PII handling
- Preferred AI Stack Alignment
- AWS Bedrock
- AgentCore
- Claude Sonnet
- AWS Strands SDK
- Amazon Titan Embeddings v2
- Bedrock Prompt Management
- Bedrock Guardrails
- AgentCore Evals Braintrust
- Engineering Platform Skills
- Strong programming expertise in Python
- Experience building APIs using FastAPI
- Knowledge of TypeScript and React for AIenabled UI integration
- Experience with GitHub and GitHub Actions
- Infrastructure automation exposure using Terraform or AWS CDK
- Experience with observability and tracing using OpenTelemetry
- Familiarity with monitoring AI agents for latency token cost execution steps and reliability
- Working knowledge of Dynatrace ELK and OTel is preferred
Functional Domain Expectations
- Ability to understand claim lifecycle workflows and identify AI automation opportunities
- Experience translating business problems into AI enabled workflow solutions
- Ability to support modernization initiatives across assisted surfaced and automated AI maturity phases
- Strong understanding of enterprise grade delivery expectations not just prototype development
- Ability to work in SAFe PI based delivery environments
- Modernization objectives include integrating LLM based reasoning into claim professional workflows automating repetitive claim tasks using multiagent orchestration delivering production grade agentic AI and building a durable AI delivery model that scales across the value stream
Leadership Expectations
- Act as a technical lead for AI engineering delivery
- Guide developers on agentic AI patterns architecture coding standards and production readiness
- Review AI solution designs prompts orchestration flows and evaluation strategies
- Partner with circle leads directors of engineering architects and delivery managers
- Drive technical problem solving across AI data API cloud and DevOps teams
- Ensure adherence to approved enterprise technology standards and variance governance
Mandatory Qualifications
- 8 years of software engineering experience
- 3 years of hands-on AI ML LLM engineering experience
- Strong Python development background
- Practical experience with LLM based application architecture
- Experience building APIs automation services or AI native backend services
- Experience with cloud native AI services preferably AWS
- Strong understanding of RAG embeddings vector search and prompt management
- Experience with CICD Gitbased development and production deployment practices
- Strong communication skills and ability to work with distributed engineering team
