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Associate Principal - Data Sciences

Job in Atlanta, Fulton County, Georgia, 30301, USA
Listing for: LTIMindtree
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Associate Principal - Data Sciences Experience 11 to 15 years<
Location Atlanta Georgia<
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 modernise broker workflows and enhance decision making 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 Must Have< 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 Code Act 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 production grade 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 cost efficient architecture for enterprise AI solutions Integration APIs<
Strong integration skills with REST APIs webhooks and APIled event driven integration with enterprise systems<
Expertise with relational No

SQL and graph databases<
Secondary Skill<
Databricks Lakehouse Preferred<

Experience with Delta Lake ETLELT feature engineering and job orchestration<
Experience creating fine tuning datasets for domain specific AI use cases<

Experience with domainspecialized model fine tuning 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 legacy

NET 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< <
Atlanta - Georgia - USA
11 - 15 Years
10R27-May-2026

NACTIVE
1466346 Mandatory Skills : AI/GenAI Research, GenAI - LLMOps, MLOPS, Python Good to Have Skills :
Deep Learning - AIOPS, Machine Learning - AIOPS, Python - Data Science
Position Requirements
10+ Years work experience
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