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Associate Principal - Data Sciences
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Role description
Experience 11 to 15 years
Location Atlanta Georgia
Role Summary
Lead the design and delivery of AIML and GenAI solutions across broker operationsincluding placement quoting underwriting support claims advocacy and client servicing
Drive AI integration across Azure Databricks Python ML and legacy NET systems to modernise broker workflows and enhance decisionmaking productivity and client experience
Key Responsibilities
Engineer autonomous secure agents
Set up agent evaluation automation
Architect endtoend 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
Embed AI into broker platforms placement quoting CRM document systems NET apps
Understand the insurance domain and design and implement extensible evolvable schemas
Primary Skills MustHave
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 evaluationmanagement Agent harness and 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 productiongrade agent design including multiagent patterns
Humanintheloop HITL workflow and interaction design for agent systems
Ability to leverage coding agents and specdriven 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 AIdata platforms and secure application integration
Security engineering for agents and platforms including OAuth2 Azure permissions IAM policies and finegrained access control FGAC
Experience with credentials and secrets management for enterprise AI systems
Familiarity with infrastructure as Code using Terraform for Azure environment provisioning and platform standardization
Ability to implement scalable resilient and costefficient architecture for enterprise AI solutions
Integration APIs
Strong integration skills with REST APIs webhooks and APIled eventdriven integration with enterprise systems
Expertise with relational NoSQL and graph databases
Secondary Skill
Databricks Lakehouse Preferred
Experience with Delta Lake ETLELT feature engineering and job orchestration
Experience creating finetuning datasets for domainspecific AI use cases
Experience with domainspecialized model finetuning for insurance and broker workflows
Broker Domain Knowledge Preferred
Understanding of wholesale insurance and broker workflows submissions placement quoting renewals and client servicing
Ability to map AI to outcomes such as placement speed hit ratio productivity and client retention
Understand the insurance domain and design and implement extensible evolvable schemas and ontologies
Differentiators
AI integration in legacyNET broker platforms
MLOps model governance and drift monitoring
Security compliance PII handling auditability
Realtimeeventdriven 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 STP
Better client insights and retention
Skills
Mandatory Skills : AI/GenAI Research, GenAI - LLMOps, MLOPS, Python
Good to Have Skills : Deep Learning - AIOPS, Machine Learning - AIOPS, Python - Data Science
Other details
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.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):
Benefits and Perks:
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.
Benefits
Compensation range: $ 105,430.00 to 175,000.00 per year
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About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
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