Associate Principal - Data Sciences
Role Summary
Lead the design and delivery of AIML and GenAI solutions across broker operations including placement quoting, underwriting support, claims advocacy, and client servicing. Drive AI integration across Azure, Databricks, Python ML, and legacy NET systems to modernize broker workflows and enhance decision-making productivity and client experience.
Key Responsibilities
- Engineer autonomous secure agents
- Set up agent evaluation automation
- Arcitect end-to-end AIML GenAI solutions from design to production
- Translate broker use cases, submission triage, quote comparison, document ingestion, IDP recommendation engines, agent assist, client insights
- Define enterprise AI patterns, standards, and reusable components
- Ensure scalability, performance, explainability, compliance, and cost efficiency
- Lead technical governance, design reviews, and stakeholder engagement
- Design data ML platforms on Azure Databricks
- Earnest AI into broker platforms, placement quoting, CRM, document systems, NET apps
- Understand the insurance domain and design and implement extensible, evolvable schemas
Primary Skills
- AIML, GenAI, strong ML lifecycle expertise and GenAI design
- RAG prompting, retrieval, evaluation, ability to choose optimal approach ML vs GenAI based on business need
- GenAI agentic engineering experience with agentic frameworks (oContext management, MCP elicitation, notification patterns, MCPA2A protocols)
- CodeAct Code Interpreter, Agent Skill evaluation, management, Agent harness, RAG Agent evaluation expertise including automation of evaluation workflows
- Engineering Agent Skill working alongside Insurance SMEs, Python Agent Engineering, Advanced Python solutioning for production AI and agent systems
- Proficient in agentic frameworks and production-grade agent design including multiagent patterns, Human-in-the-loop (HITL) workflow and interaction design for agent systems
- Leverage coding agents and spec-driven development across all SDLC phases
- Experience with containers for scalable, portable deployment of AI and agent workloads, Azure Data Platform, Azure solutions architecture across AI data integration, security, CICD, and observability
- Handson with enterprise Azure services for AI data platforms and secure application integration, Security engineering for agents and platforms including OAuth2, Azure permissions, IAM policies, and fine-grained access control (FGAC)
- Implement scalable, resilient, and cost-efficient architecture for enterprise AI solutions, Integration APIs, Strong integration skills with REST APIs, webhooks, and API-led event-driven integration with enterprise systems
- Experience with relational, NoSQL, and graph databases
Secondary Skills
- Databricks Lakehouse
Preferred Experience
- Experience with domainspecific model finetuning for insurance and broker workflows
- Understanding of wholesale insurance and broker workflows, submissions, placement quoting, renewals, and client servicing
- Experience creating finetuning datasets for domainspecific AI use cases
- Understanding of the insurance domain and design and implement extensible, evolvable schemas and ontologies
Realtime Event-Driven Architectures
For trading workflows
Analytics Dashboards
For broker performance and AI impact
Outcome Focus
- Faster placement cycles and improved quote quality
- Increased broker productivity and automation
- Better client insights and retention
Compensation and Benefits
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
- Comprehensive Medical Plan
- 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
Benefits and Perks may vary depending on the nature of your employment with LTIMindtree ("LTIM").
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.