AI Tech Lead

Role Description

Job Title : AI Tech Lead

Location : Hartford, CT (Onsite – Hybrid)

Job Description

Key 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
  
  

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave
  
  

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

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.