Certain Advantage are currently hiring for an AI SME on an initial contract basis through to the end of the year, with a strong possibility of extension.
The role is based in London and requires 3 days per week onsite.
You will be accountable for implementing and advising AI principles (defined in AIMS). The role ensures AI systems are designed, developed, and deployed in alignment with the organisations values, regulatory requirements, and Responsible AI principles, while enabling safe adoption and business value realization.
Your responsibilities
Maintain Responsible AI principles (along with AI quality & monitoring, discoverability, documentation, AI lineage) in AIMS, related practices and guidance.
Work with legal to establish requirements for fairness, transparency, explainability, accountability, and human oversight.
Develop practical controls and Responsible AI assessment criteria for AI use cases.
Lead Responsible AI reviews for high-risk and business-critical AI solutions - aka AI Steward
Conduct assessments for bias, fairness, explainability, safety, and unintended consequences.
Provide recommendations and mitigation actions to enable safe deployment.
Embed Responsible AI controls AI lifecycle management processes and governance workflows.
Partner with Governance Operations to operationalize Responsible AI requirements within platforms and tooling.
Support model approval and risk review processes with AI ERC Regulatory & Industry Alignment
Monitor emerging AI standards, and industry best practices.
Advise teams on compliance implications and adoption of regulatory requirements.
Support audit and assurance activities related to Responsible AI.
The individual
Experience evaluating AI risks, fairness, transparency, and explainability.
Experience engaging senior stakeholders and influencing enterprise decisions.
Experience in regulated or complex enterprise environments preferred.
Responsible AI and AI ethics
Fairness, explainability, transparency, and AI safety
AI risk management and governance
AI/ML lifecycle and model development practices
Regulatory frameworks (EU AI Act, NIST AI RMF, ISO 42001)
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