The Responsible AI Technical Expert combines hands-on technical tool development with technical orchestration within the RAI Office, enabling that AI governance, risk management, and compliance capabilities are effectively embedded across the end-to-end AI lifecycle across the enterprise
Job Summary
The Responsible AI Technical Expert combines hands-on technical tool development with technical orchestration within the RAI Office, enabling that AI governance, risk management, and compliance capabilities are effectively embedded across the end-to-end AI lifecycle across the enterprise.
This role is expected to operate with a high degree of autonomy, upgrading and expanding the technical backbone for Responsible AI practices and influence technical direction across teams, and contribute to shaping enterprise-wide Responsible AI capabilities.
Contribute to the data management, dashboarding and tooling development for AI energy consumption measurements across the AI lifecycle.
Matching Summary
The Responsible AI Technical Expert combines hands-on technical tool development with technical orchestration within the RAI Office, enabling that AI governance, risk management, and compliance capabilities are effectively embedded across the end-to-end AI lifecycle across the enterprise.
Skills & Requirements
Must-have
AI governance, risk management, and compliance
AI lifecycle technical backbone
machine learning practices (GMLP)
AI energy consumption measurements
Nice-to-have
green computing principles
optimizing workloads for energy efficiency
measuring energy consumption and carbon footprint
Key Requirements
6+ years of hands-on experience with AI/ML technologies
2+ years of experience building data platforms, dashboards, or workflow systems
2+ years of experience designing and deploying secure apps in Microsoft PowerApps/Dataverse
2+ years of experience with Good Machine Learning Practices
Master's or PhD in Computer Science, Artificial Intelligence, or related field