AI Governance

This role focuses on making AI systems trustworthy and compliant by developing governance frameworks, conducting model risk assessments, and ensuring regulatory adherence. The position plays a critical part in keeping AI delivery free from legal and reputational risks, working closely with cross-functional teams to embed responsible AI practices throughout the project lifecycle.

Key Responsibilities

- Design and implement AI governance frameworks and policies tailored to client engagements.
- Conduct thorough model risk assessments and responsible AI reviews prior to production deployment.
- Lead AI regulatory implementation by mapping engagement requirements to relevant regulations such as the EU AI Act and sector-specific rules.
- Develop and execute AI red-teaming exercises for high-risk systems to identify vulnerabilities and risks.
- Establish and maintain AI testing and evaluation standards focusing on governance and ethics, including bias, fairness, explainability, and AI ethics considerations.
- Provide governance risk advice to practice leads and architects during solution design phases, ensuring risk is managed proactively rather than reactively.
- Facilitate cross-functional governance reviews involving legal, technical, and business stakeholders to ensure alignment and compliance.
- Act as a responsible gatekeeper by recommending delays to AI system launches when risks are identified, even under commercial pressure.
- Train delivery teams on responsible AI practices to embed governance and ethical considerations across projects.

Required Qualifications

- 6 to 12+ years of experience in AI governance, model risk management, compliance, or responsible AI roles.
- Strong working knowledge of AI regulations, including the EU AI Act, NIST AI Risk Management Framework, and sector-specific regulatory frameworks, with the ability to operationalize these requirements.
- Technical proficiency to critically evaluate model documentation such as model cards and evaluation reports beyond superficial compliance checks.
- Familiarity with bias and fairness testing methodologies as well as explainability tools.
- Experience with platform-native AI safety and governance tools such as Microsoft Azure AI Content Safety, AWS Bedrock Guardrails, and Google Vertex AI safety filters. Knowledge of open-source evaluation tools like Giskard or DeepEval is advantageous.
- Proven experience designing and implementing red-team protocols for AI systems.
- Strong written communication skills, capable of producing governance policies and frameworks that are trusted by both legal and technical teams.
- Ability to diplomatically but firmly manage risk, including the willingness to pause launches when warranted, even under commercial pressure.
- Skilled at facilitating governance discussions across diverse stakeholder groups, balancing technical, legal, and business perspectives.

This position offers the opportunity to influence the responsible deployment of AI technologies at a strategic level, ensuring that innovation proceeds with integrity and compliance. The role requires a blend of technical expertise, regulatory knowledge, and strong interpersonal skills to navigate complex governance challenges effectively.