AI Platform Engineer (hybrid)

Requirements

• Evaluate capabilities to determine how to support prioritized use cases
• Lead proofs-of-concept (PoCs) and pilot programs to validate usability within our ecosystems
• Design and deploy AI/ML platform components using Azure AI Foundry, Azure Machine Learning, and other Azure services
• 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

Benefits

• Medical and Prescription Drug Benefit
• Dental Benefit
• Vision Benefit
• Life Insurance and Disability Benefits
• 401(k) Profit Sharing and Investment Plan
• 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