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DevOps AI Platform Architecture

Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listing for: Capgemini
Full Time, Remote/Work from Home position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below

This job is with Capgemini, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Job Role:
Dev Ops AI Platform Architecture

Location:
London, UK

About the Job you are considering:

As a Dev Ops AI Platform Architect, you will be designing, building, and optimizing scalable AI platforms that enable organizations to develop, deploy, and manage AI/ML solutions efficiently and securely. This role aligns with my passion for cloud computing, Dev Ops practices, automation, and artificial intelligence, allowing me to create robust platforms that accelerate innovation and business value.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

  • Designing and implementing AI platform architectures using cloud services such as Microsoft Azure, AWS, or Google Cloud.
  • Establishing CI/CD and MLOps pipelines to automate model training, testing, deployment, and monitoring.
  • Managing containerized workloads using Docker and Kubernetes for scalability and reliability.
  • Ensuring platform security, compliance, governance, and cost optimization through best practices and automation.
  • Collaborating with data scientists, developers, security teams, and business stakeholders to deliver enterprise-grade AI solutions.
  • Implementing observability, monitoring, and incident management processes to maintain platform performance and availability.
  • Evaluating and integrating emerging technologies in Generative AI, platform engineering, and cloud-native ecosystems to drive innovation.

Your Skills:

  • Define and document global AI platform patterns Discovery Zone BYOD end-to-end ML lifecycle reference architectures and obtain approvals through architecture forums
  • Design Model Serving Architecture
  • Partner with the AI Tech Lead on the Model Serving PoC and define the end-to-end architecture for scalable and secure model deployment
  • Define MLOps Architecture
  • Define and document MLOps architecture using learnings from the Model
  • Serving PoC and drive approvals for standardization
  • Enable LLM Strategic Capabilities
  • Assess different capabilities for LLM Azure AI foundry Bedrock and Databricks and take design decisions for approval
  • Work with security Data protection office other architecture teams to align them with the decision and secure approvals for roll out
  • Document the low level design for LLM roll out to different use case
  • Evolve Platform Capabilities
  • Drive incremental platform capabilities Responsible AI GenAI Data Governance etc aligned with the approved L2 architecture


We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.
  • Please opt in during the application process.

Make It Real (what does it mean for you):

  • You’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
    To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.
  • You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from think tanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.
  • You will be joining one of the World’s Most Ethical Companies®, as recognised by Ethisphere® for 13 consecutive years. We live our values by making ethical business choices every…
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