Associate Principal - Data Sciences

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

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:

• 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.