AI Platform Engineer

Join Us as an AI Platform Engineer – Shape the Future of AI at Barclays.

We’re excited to launch a groundbreaking initiative at Barclays – building a next‑generation platform that empowers front‑office developers (Quants and Strats) to create high‑performance, AI‑driven applications. As an AI Platform Engineer, you’ll design, build, and scale robust platform components that enable advanced AI/ML workloads across on‑premises and cloud environments.

• Proven experience in Python engineering, focusing on backend and infrastructure tooling.
• Deep knowledge of AWS services (IAM, KMS, Cloud Formation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock).
• Experience scaling platforms for AI/ML workloads and integrating generative AI tooling.
• Understanding of secure software development, cloud cost optimisation, and platform observability.
• Ability to communicate complex technical concepts to technical and non‑technical audiences.
• Demonstrated capability to guide engineering teams and influence technical strategy.

• Experience with MLOps platforms such as Databricks or Sage Maker and familiarity with hybrid cloud strategies (Azure, on‑prem Kubernetes).
• Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration.
• Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine‑tuning and deployment for enterprise use cases.
• Hands‑on experience with Hugging Face libraries and tools for model training, evaluation, and deployment.
• Knowledge of agentic frameworks (e.g., Lang Chain, Auto Gen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability.
• Awareness of emerging trends in GenAI platforms, open‑source MLOps, and cloud‑native AI solutions.

• Design, develop and improve software using industry‑standard programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and optimised for performance.
• Collaborate with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration with business objectives.
• Participate in code reviews, promote a culture of code quality and knowledge sharing, and mentor peers.
• Stay informed of industry technology trends and innovations, and contribute to the organisation’s technology communities.
• Adhere to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implement effective unit testing practices to ensure proper code design, readability, and reliability.

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 uphold the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.