AI Governance Professional Profiles: Technical

This is the broadest category that includes different aspects of technical functions within an organization. These roles support everything from advising on where and how to use AI within the organization to the appropriate use of data. Collectively, they build governance into AI infrastructure through the development of model versioning, evaluation gates, monitoring and drift detection and compliance dashboards. These profiles help develop internal controls and conduct technical assessments and evaluations for safety, fairness, explainability, robustness and security. A recurring skill across all technical roles is policy-technical translation, which allows governance and regulatory requirements to become technically measurable and feasible. A strong technical team will find ways to best leverage AI’s benefit for the value of the company. 

Responsible AI engineering lead 

Alternative titles: Head of AI evaluation, Director of AI validation, Director of model evaluation, Responsible AI technical lead, Director of model risk management (AI/machine learning), AI model governance lead, Director of AI systems assurance, Principal architect — Responsible AI, Director of secure and responsible AI systems, AI production governance lead 

Summary statement: Responsible for ensuring safe, trustworthy and secure requirements are embedded into AI solutions across the organization.

Key purpose: Ensures the development and use of all AI solutions within the organization are responsible, safe, trustworthy and aligned with internal AI policy and governance standards.