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.
Role Overview
Join Barclays as a AI Platform Engineer, where you will design and build core components of our enterprise AI infrastructure. You will own key platform subsystems, including the AI Gateway, inference routing, guardrails, and observability, delivering secure, scalable, and production-grade solutions aligned with our architectural vision. This role combines platform architecture with hands-on engineering, enabling you to drive technical delivery while mentoring junior engineers.
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 optimized 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.
Assistant Vice President Expectations
- To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
- Lead a team performing complex tasks or lead collaborative assignments and guide team members through structured assignments.
- Set objectives and coach employees in pursuit of those objectives.
- Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
- Engage in complex analysis of data from multiple sources of information to solve problems creatively and effectively.
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.
Essential Skills
- Cloud-native distributed systems — designing and owning platform subsystems end-to-end
- Extensive Python (FastAPI/asyncio) or Go/Java skills — building production APIs and microservices
- AWS and Kubernetes at scale — including EKS, Bedrock, IAM, RDS/Aurora, deployment strategies, and HPA
- GenAI and Agentic AI technologies — including LangGraph/LangChain or Google ADK, MCP/A2A, RAG pipelines, and LLM integration
Highly Valued Skills
- Envoy Proxy or API gateway platforms
- OPA/Rego policy-as-code
- AI safety controls, including guardrails, prompt injection defence, and content filtering
- Zero Trust and identity systems, including EntraID and OAuth2/OIDC
