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Barclays Logo Barclays · IT - Software Development

Ai Governance Engineer

United Kingdom, London · Job Posted June 15, 2026
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Job Description

Join us as an AI Governance Lead, to support and evolve responsible AI adoption across Barclays by embedding clear and effective governance, risk and oversight frameworks within our technology and innovation landscape. This role sits within our AI and engineering ecosystem, where you will help translate policy, regulatory and risk requirements into practical and scalable technical approaches, while enabling teams to innovate in a safe and supportive way. You will contribute to shaping enterprise-wide AI governance, ensuring solutions are secure, auditable and aligned with business and regulatory expectations. This is an opportunity to contribute to how AI is developed and deployed at scale, working with a wide range of stakeholders and advanced technologies, while helping Barclays maintain trust and enable innovation in a balanced and sustainable way.

Job Responsibility

  • To support and evolve responsible AI adoption across Barclays by embedding clear and effective governance, risk and oversight frameworks within our technology and innovation landscape
  • Help translate policy, regulatory and risk requirements into practical and scalable technical approaches, while enabling teams to innovate in a safe and supportive way
  • Contribute to shaping enterprise-wide AI governance, ensuring solutions are secure, auditable and aligned with business and regulatory expectations
  • Build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes
  • Design and implementation of data warehoused and data lakes
  • Development of processing and analysis algorithms
  • Collaboration with data scientist to build and deploy machine learning models

Requirements

  • Solid Python and software engineering background, with a focus on building scalable, production-grade systems
  • Experience implementing policy-as-code, governance-as-code or rules-as-code frameworks, including designing and embedding these approaches across large-scale environments and supporting their adoption across multiple teams
  • Experience with CI/CD pipelines, automated testing, deployment pipelines and integration within modern engineering environments, including contributing to engineering standards and supporting consistent practices across programmes or functions
  • In-depth understanding of AI governance, model risk, technology risk, data privacy, security and auditability

Nice to have

  • Cloud architecture experience, ideally AWS and/or Azure
  • Knowledge of MLOps, LLMOps, model registries, evaluation frameworks and observability

What we offer

  • Competitive holiday allowance
  • Life assurance
  • Private medical care
  • Pension contribution
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