Building guardrails : Deliver enterprise-grade guardrails, aligned to our AI Assurance Framework and Platform Change Framework and embedded in our enterprise tooling, supporting the safe deployment of predictive AI, generative AI and agentic AI use cases
Accelerate Use Case Deployment : Partner with business and platform teams to ensure responsible development and deployment of AI solutions, including third-party assurance and lifecycle governance.
Lead Technical Enablement : Provide hands-on guidance on fairness, explainability, and bias mitigation, and help teams adopt best practices in AI ethics.
Influence and Educate : Translate responsible AI principles into actionable insights for senior stakeholders, and contribute to training and awareness initiatives.
Requirements
Proven experience applying Responsible AI principles in production environments, including fairness, explainability (e.g., SHAP, LIME), and privacy-by-design.
Strong understanding of ethical risk mitigation, bias audits, and governance frameworks such as SS1/23, GenAIOps, or equivalent.
Ability to communicate technical concepts clearly to senior audiences and non-technical stakeholders.
Experience with agile delivery and cloud platforms (GCP preferred).
Background in Banking/Finance, especially in collaboration with Risk Control or Model Validation teams is desirable.
Familiarity with agentic AI risks, hallucination control, and multi-agent governance is a plus.
Benefits
A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Responsible AI principlesfairnessexplainabilitySHAPLIMEprivacy-by-designethical risk mitigationbias auditsgovernance frameworksagile delivery