About the role

  • AI Platform Engineer at Utica National Insurance Group responsible for evaluating, designing, and implementing AI/ML solutions. Collaborating with internal teams and ensuring effective use of AI-driven tools.

Responsibilities

  • 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.

Requirements

  • 5+ years in software development and solution design with cloud platforms (preferably Microsoft Azure)
  • 2+ years hands-on experience in AI/ML (LLMs or classical ML), including deployment and operationalization
  • Less than 2 years Proven experience with Azure AI services: AI Foundry, Azure ML, AI Search, Key Vault, Monitor, Container Registry
  • Familiarity with enterprise security practices, private networking, and governance frameworks
  • Experience with and strong understanding of MLOps, CI/CD, and infrastructure-as-code
  • 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.

Benefits

  • 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

Job title

AI Platform Engineer – Hybrid

Job type

Experience level

Mid levelSenior

Salary

$112,000 - $149,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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