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Browse Open JobsDevOps AI Platform Architecture – London, UK
Summary by AIEngineer.careers
DevOps AI Platform Architecture – London, UK is a AI Infrastructure Engineer role (full-time). with capgemini. in GREATER LONDON, GB. Imported listing (source: workvisajobs.co.uk). Apply on the employer's site (workvisajobs.co.uk).
Imported listing (source: workvisajobs.co.uk) · Apply on workvisajobs.co.uk
GREATER LONDON · GB
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from workvisajobs.co.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.
Responsibilities
- 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.
Requirements
- 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).
capgemini
Paris · FR · 420000+ employees
Capgemini is a global leader in business and technology transformation, consulting, and digital services. They provide integrated solutions spanning strategy, design, technology, engineering, and business operations, helping organizations leverage AI, cloud, and data technologies.
