Senior Platform Engineer focused on building internal platform capabilities for developer tooling and experience at MONY Group. Collaborating with teams to enhance platform engineering and software delivery.
About the role
- AI Platform Engineer designing and deploying AI and ML platforms at Utica National Insurance Group. Collaborating with internal teams to implement AI solutions and establish observability and telemetry.
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
Requirements
- Bachelor's Degree Preferred
- 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
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
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