AI Platform Enablement Engineer
Job Summary
Owning the operational success of enterprise AI platforms, the full-time remote AI Platform Enablement Engineer III will manage the enablement, adoption, cost management, and governance of platforms like Anthropic and Microsoft Copilot, while addressing complex problems and ensuring value-driven implementation.
Key responsibilities
- Own evaluation and rollout of new capabilities across AI platforms, defining strategies for pilot and broad enablement
- Establish and manage role-based access and platform configurations, while developing usage patterns and governance practices
- Analyze platform consumption and cost drivers, optimizing usage through standardized patterns and collaborating with stakeholders for measurable outcomes
Required qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent experience
- Five years of IT engineering experience, with at least three years in DevOps, MLOps, or Cloud Infrastructure
- Experience with Azure AI Services and container orchestration (Kubernetes/AKS)
- Proven experience in building and maintaining CI/CD pipelines for machine learning models or complex software applications
- Familiarity with AI governance and responsible AI practices
Complete Job Description
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