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Lead AI Platform engineer - Barclays
Devops Engineer
Lead AI Platform Engineer driving the design, build, and evolution of secure, scalable AWS-based AI platforms that support machine learning, generative AI, and agentic workloads, ensuring high performance and user‑centric solutions.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI platforms on AWS, ensuring scalability, reliability, and security for ML, GenAI, and agentic workloads.
- Collaborate with data scientists, product managers, and security teams to translate business requirements into robust platform solutions.
- Lead platform modernization initiatives, adopting best practices in CI/CD, observability, and automated testing.
- Mentor and guide a cross‑functional engineering team, fostering a culture of continuous improvement and knowledge sharing.
- Define and enforce governance, compliance, and cost‑management policies across the AI platform ecosystem.
Requirements
- 10+ years of experience in cloud platform engineering with deep expertise in AWS services (SageMaker, ECS/EKS, Lambda, Step Functions).
- Proven track record building production‑grade ML and GenAI pipelines, including model training, deployment, and monitoring.
- Strong understanding of agentic AI systems and experience integrating them into scalable architectures.
- Hands‑on skills in DevOps tooling (Git, Jenkins, Terraform, Docker, Kubernetes) and security best practices.
- Excellent communication skills and a collaborative mindset, capable of leading technical discussions across multiple stakeholders.
Skills
awsmachine learninggenerative ai