Evaluate capabilities to determine how to support prioritized use cases
Lead proofs-of-concept (PoCs) and pilot programs to validate usability within our ecosystems
Collaborate with internal teams to ensure secure and effective use of AI-driven tools
Design and deploy AI/ML platform components using Azure AI Foundry, Azure Machine Learning, Azure AI Search, Azure Storage, Key Vault, and Private Endpoints/VNET
Establish secure connectivity patterns, RBAC, and identity management with Microsoft Entra ID
Implement observability and telemetry using Azure Monitor and Application Insights
Build CI/CD pipelines in Azure DevOps or GitHub for model training, evaluation, and deployment
Manage versioning for datasets, models, prompts, and agent configurations
Automate environment provisioning and enforce promotion gates for Development  Test  UAT  Production
Enable conversational experiences using Microsoft Copilot Studio and integrate advanced use cases with Azure AI Foundry
Connect enterprise data sources (SharePoint, Dataverse, Graph connectors) securely for grounding AI agents
Implement governance controls for PII, data classification, and auditability
Define SLAs, cost guardrails, and incident response playbooks for AI services
Collaborate with business units (Policy, Claims, Underwriting, Customer Experience) to align AI platform capabilities with operational needs
Performs other duties as assigned
Conforms with all corporate policies and procedures

5+ years in software development and solution design with cloud platforms (preferably Microsoft Azure) required
2+ years hands-on experience in AI/ML (LLMs or classical ML), including deployment and operationalization required
Less than 2 years Proven experience with Azure AI services: AI Foundry, Azure ML, AI Search, Key Vault, Monitor, Container Registry required
Familiarity with enterprise security practices, private networking, and governance frameworks required
Experience with and strong understanding of MLOps, CI/CD, and infrastructure-as-code required
Experience with Copilot Studio and conversational AI integration preferred
Insurance industry experience
Knowledge of policy, claims, underwriting, and compliance requirements preferred
Experience with vector search, prompt engineering, and responsible AI principles preferred
Exposure to Microsoft Graph and enterprise data connectors preferred
Ability to design scalable architectures with cost optimization and operational resilience preferred

Medical and Prescription Drug Benefit
Dental Benefit
Vision Benefit
Life Insurance and Disability Benefits
401(k) Profit Sharing and Investment Plan (Includes annual Company financial contribution and discretionary Profit Sharing contribution based upon annual company financial results)
Health Savings Account (HSA)
Flexible Spending Accounts
Tuition Assistance, Training, and Professional Designations
Company-Paid Family Leave
Adoption/Surrogacy Assistance Benefit
Voluntary Benefits
Group Accident Insurance, Hospital Indemnity, Critical Illness, Legal, ID Theft Protection, Pet Insurance
Student Loan Refinancing Services
Care.com Membership with Back-up Care, Senior Solutions
Business Travel Accident Insurance
Matching Gifts program
Paid Volunteer Day
Employee Referral Award Program
Wellness programs
Personal Insurance Discount

AI Platform Engineer – Hybrid

Key skills