Senior AI Engineer

Key Responsibilities
Administer and configure enterprise AI platforms, including M365 Copilot, Claude Enterprise, and ChatGPT Enterprise
Manage user entitlements, provisioning, workspace settings, connectors, and access controls
Develop and maintain reusable AI skills in accordance with governance standards, including risk tiering, evaluation suites, and review workflows
Build and configure connectors integrating AI platforms with enterprise systems such as project tracking, document management, IT service management, and data platforms
Develop collaboration-channel integrations, including Microsoft Teams, and other platform-native solutions
Package and manage AI skills through version-controlled repositories and CI processes, including versioning and evaluation checks on pull requests
Convert recurring business workflows into scalable and reusable AI solutions
Support AI adoption through enablement initiatives, hackathons, and training
Partner with governance teams to maintain, review, version, and monitor the enterprise AI skills catalog
Execute platform changes and entitlement requests through established approval processes while maintaining audit-ready documentation
Follow established AI governance, security-review, and evaluation processes

Required Qualifications
5+ years of experience
Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field

Skills
Python
API Integration
Git
Connector Development
Reusable AI Skills Development
LLM Platforms
Retrieval-Augmented Generation (RAG)
Data and Search Platforms
Microsoft 365 and Teams Integrations
Integration Design
Enterprise AI Platform Administration
AI Governance
Business Workflow Automation
AI Enablement and Training
Regulated Environment Experience

Schedule
Start date: 2026-11-02