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 preventing legal and reputational risks associated with AI deployment, 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 focused on governance and ethics, including bias, fairness, explainability, and AI ethics.
- Provide governance risk advice to practice leads and architects early in the solution design phase, rather than only at project completion.
- Facilitate cross-functional governance reviews involving legal, technical, and business stakeholders to ensure alignment and risk mitigation.
- Act as a responsible voice to delay or slow down AI system launches when risks justify caution, even under commercial pressure.
- Train delivery teams on responsible AI practices to embed governance and ethical considerations into everyday workflows.

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 compliance frameworks, with practical experience operationalizing these requirements.
- Technical proficiency sufficient to critically evaluate model documentation such as model cards and evaluation reports beyond superficial checks.
- Familiarity with bias and fairness testing methodologies, as well as explainability tools used in AI evaluation.
- Experience with platform-native AI safety and governance tools, including Microsoft Azure AI Content Safety, AWS Bedrock Guardrails, and Google Vertex AI safety filters. Knowledge of open-source evaluation tools like Giskard and DeepEval is advantageous.
- Proven experience designing and managing red-team protocols specifically for AI systems.
- Strong written communication skills with the ability to author governance policies and frameworks that are trusted by both legal and technical teams.
- Ability to diplomatically but firmly uphold risk standards, effectively balancing governance needs without obstructing progress.
- Skilled at facilitating cross-functional governance discussions among legal, technical, and business stakeholders.

This position offers the opportunity to lead AI governance initiatives within a dynamic environment, ensuring that AI deployments are both ethically sound and compliant with evolving regulations. The role requires a balance of technical insight, regulatory expertise, and strong interpersonal skills to influence decision-making and safeguard organizational reputation.