Senior AI Engineer
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Role details
Tech stack
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Job description
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, 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
Requirements
5+ years of experience Bachelorβs degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
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