AI Platform Engineer

Join us as an AI Platform Engineer, where you will help build and evolve the platforms that power innovative AI-driven solutions across Barclays. Our team is focused on creating secure, scalable and resilient technology capabilities that enable colleagues and customers to benefit from advanced digital experiences and business services.

This role offers the opportunity to design, develop and optimise modern AI and cloud platforms, ensuring they are reliable, efficient and ready to support millions of interactions every day. You will work at the intersection of platform engineering, cloud technologies and artificial intelligence, contributing to the deployment and operation of AI agents and large language model (LLM) services while helping shape the future of AI adoption across the organisation. You will play a key role in delivering robust engineering solutions, influencing platform capabilities and enabling development teams through modern self-service tooling and automation. This is an exciting opportunity to make a direct impact on Barclays' AI strategy while working with modern technologies in a collaborative and supportive environment that encourages continuous learning and growth.

 

To be successful as an AI Platform Engineer, you must have the following essential skills:

 

• Experience building, deploying and operating secure, scalable Kubernetes platforms.
• Practical cloud engineering experience across AWS and/or Azure, including infrastructure design, automation and operational support.
• Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, with knowledge of monitoring, governance, quality assurance and agentic workflows.

 

Some other highly valued skills may include:

 

• Experience with OpenShift or other enterprise Kubernetes platforms
• Knowledge of AI security, observability, evaluation frameworks, authentication and authorisation, monitoring and operational assurance.
• Experience with CI/CD, GitOps, Infrastructure as Code, automation and developer enablement capabilities, including self-service platforms and reusable engineering templates.

 

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

 

This role will be based in Knutsford or Manchester.