About

Join Us as an AVP 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 AVP AI Platform Engineer, you’ll be involved in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments. This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You’ll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services. To be successful as an AVP AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling.Deep knowledge of AWS services (IAM, KMS, CloudFormation, 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 optimization, and platform observability.Ability to communicate complex technical concepts clearly to technical and non-technical audiences.Demonstrated capability to guide engineering teams and influence technical strategy. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, 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), in