AI Platform Engineer

Barclays; Knutsford; On-site; GBP 90,000 - 120,000; Full time

Job summary

Barclays is seeking an AI Platform Engineer to design, develop and improve software platforms that power critical services across Knutsford, Glasgow and Manchester. You will build scalable Kubernetes platforms, automate cloud infrastructure, and deploy AI agents with governance and monitoring.

The role emphasizes secure coding, observability, cost-aware cloud usage, and self-service tooling to enable rapid delivery across teams and business units.

Qualifications

• Experience with Kubernetes platform engineering and secure, scalable platforms.
• Experience deploying AI/LLM services and governance frameworks.
• Cloud design/deploy across AWS and/or Azure with automation.
• Knowledge of OpenShift and enterprise Kubernetes distributions.

Responsibilities

• Develop and deliver high-quality software platforms for critical services.
• Collaborate with product managers, designers and engineers to define requirements.
• Promote code quality via reviews and secure coding practices.
• Stay informed on industry trends and contribute to technical communities.
• Monitor AI workloads, optimize platform usage and cloud costs.
• Design automated delivery pipelines and self-service deployment workflows.

Skills

Kubernetes platform engineering

Cloud engineering (AWS/Azure)

AI/LLM deployment

OpenShift

CI/CD & GitOps

Infrastructure as Code (IaC)

Automation & self-service tooling

Platform governance & security

Cost optimization & observability

Tools

OpenShift

CI/CD tooling

GitOps tooling

IaC tools (Terraform, CloudFormation)

Job description

Shape the technology behind critical business services. We're looking for an AI Platform Engineer to develop and optimise software platforms, leveraging modern engineering practices to deliver resilient, scalable, and high-performing capabilities that support millions of interactions every day.

To be successful as an AI Platform Engineer, you should have experience with:

• Kubernetes platform engineering
• Good experience building, deploying and operating secure, scalable Kubernetes platforms.
• Cloud engineering across AWS and/or Azure
• Practical experience designing, automating and supporting cloud infrastructure and services.
• Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance and agentic workflows across the software delivery lifecycle.

Some other highly valued skills may include

• OpenShift
• Experience building or operating platforms using OpenShift or a similar enterprise Kubernetes distribution.
• Agent security, observability, and evaluation: Knowledge of AI guardrails, evaluation frameworks, identity, access control, monitoring and operational assurance.
• Knowledge of agent evaluation, guardrails, identity, access control, monitoring and operational assurance.
• CI/CD, GitOps, Infrastructure as Code and automation
• Experience building automated delivery pipelines, reusable platform capabilities and self-service deployment workflows.
• Experience building self-service platform capabilities, reusable templates, golden paths and developer enablement tooling.
• Experience monitoring and optimising AI workload consumption, platform usage and cloud costs.

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.

The location of your role is Knutsford/Glasgow/ Manchester

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimised for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and elevate breaches of policies/procedures..
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counseling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others..
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.