DevOps AI Platform Architecture – London, UK

Capgemini is seeking a DevOps AI Platform Architect to design and optimize scalable AI platforms for enterprise clients. This hybrid role in London involves implementing CI/CD/MLOps pipelines, managing containerized workloads, and collaborating with data scientists and security teams. You will evaluate emerging technologies like Generative AI and LLMs to drive innovation.

• Design and implement AI platform architectures using Azure, AWS, or GCP.
• Establish CI/CD and MLOps pipelines for automated model lifecycle management.
• Manage containerized workloads with Docker and Kubernetes.
• Ensure platform security, compliance, and cost optimization.
• Collaborate with data scientists, developers, and business stakeholders.
• Implement observability and monitoring for platform performance.
• Evaluate and integrate GenAI and cloud-native innovations.

• Proven experience in AI platform architecture and MLOps.
• Hands-on with cloud services (Azure, AWS, or GCP), Docker, Kubernetes.
• Ability to define global AI platform patterns and reference architectures.
• Experience with LLM deployments (Azure AI Foundry, Bedrock, Databricks).
• Strong understanding of security, governance, and cost optimization.