AI Tech Lead

Location: Hartford, CT (Onsite – Hybrid)

Responsibilities

• Lead the design and implementation of AI-first and agentic AI solutions for strategic modernization
• Build and integrate LLM-based reasoning capabilities into claim and operational workflows to improve efficiency and reduce manual effort
• Design and implement multi-agent 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 CI/CD, infrastructure automation, observability, and production readiness practices
• Partner with stakeholders during technical screening, solution walkthroughs, and onboarding into PI delivery cycles

Requirements

• 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 CI/CD, Git-based development, and production deployment practices
• Strong communication skills and ability to work with distributed engineering teams

Skills

Technical Skills

• AI Agentic AI
• Strong hands-on experience in LLM application development
• Agentic AI design and implementation experience
• Multi-agent 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 AI-enabled 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

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

Benefits

• Comprehensive Medical Plan covering medical, dental, and vision
• Short-term and long-term disability coverage
• 401(k) plan with company match
• Life insurance
• Vacation time, sick leave, and paid holidays
• Paid paternity and maternity leave

The range displayed reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location, job level, and additional factors including job-related skills, experience, and relevant education or training. Other forms of compensation may be provided as part of overall compensation, such as an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.