AI Cloud DevOps & Platform Engineer - London, UK

Capgemini; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Mental Health Champions

Wellbeing apps Thrive and Peppy

250,000 courses with external certs (A

Great Place to work for Wellbeing 2024

Disability Confident Employer

Job summary

Capgemini is seeking a highly skilled AI Cloud DevOps & Platform Engineer to deploy, operate and optimise AI/ML/GAN solutions across AWS and Azure in production. You will build CI/CD pipelines, automate infrastructure with Terraform, Bicep and CloudFormation, ensure platform reliability and support governance and Responsible AI.

Hybrid work blends Capgemini offices, client sites and home. You will collaborate with architects and stakeholders to operationalise AI, advance platform strategy and

Qualifications

• 5+ years in DevOps & Platform Eng, 3+ years in AI Ops.
• Strong experience with Azure and/or AWS cloud platforms.
• Hands-on production experience with AI/ML/Generative AI.
• Knowledge of Azure OpenAI, Azure AI Services, Bedrock and SageMaker.
• Understanding of LLMs, RAG, AI Agents and modern AI patterns.
• Experience in Platform Eng, DevOps and cloud operations.
• CI/CD, IaC (Terraform, Bicep, CloudFormation) and automation expertise.
• Proficiency in Python and scripting.
• Experience with Docker, Kubernetes, GitHub Actions and/or Azure DevOps.
• Monitoring, observability and reliability engineering knowledge.
• LangChain, Semantic Kernel, CrewAI or AutoGen familiarity.
• Vector databases and AI orchestration frameworks.
• Databricks, Microsoft Fabric or enterprise data platforms.
• MLOps, ModelOps and AIOps practices.
• Experience in regulated or large-scale enterprise environments.
• Consulting experience delivering cloud/AI transformation initiatives.

Responsibilities

• Deploy, operate and support AI/ML/Gen AI solutions across AWS and Azure.
• Implement and manage LLM, RAG, AI Agents and Copilot-based solutions.
• Build and maintain CI/CD pipelines and infrastructure automation.
• Monitor platform health, model performance and SLAs.
• Troubleshoot incidents and drive service improvements.
• Support AI governance, security and Responsible AI requirements.
• Collaborate with architects and business stakeholders to operationalise AI.
• Contribute to AI platform strategy and best-practice adoption.

Skills

DevOps

Platform Eng

AI Ops

Azure

AWS

CI/CD

Python

Kubernetes

Terraform

Bicep

CloudFormation

Automation

Security

Governance

SageMaker

Bedrock

LangChain

Semantic Kernel

CrewAI

AutoGen

Databricks

Microsoft Fabric

Tools

Databricks

Microsoft Fabric

SageMaker

Azure OpenAI

Azure AI Services

Bedrock

LangChain

Semantic Kernel

CrewAI

AutoGen

Job description

About the Job you are considering:We are seeking a highly skilled AI Cloud DevOps & Platform Engineer who is responsible for the deployment, operation and continuous optimisation of AI, Machine Learning and Generative AI solutions across AWS and Azure. Combining AIOps, Platform Engineering and DevOps capabilities, the role ensures AI platforms are secure, scalable, resilient and production ready.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:Deploy, operate and support AI, ML and Generative AI solutions across AWS and Azure.Implement and manage LLM, RAG, AI Agent and Copilot-based solutions.Build and maintain CI/CD pipelines, infrastructure automation and operational tooling.Monitor platform health, model performance, reliability and operational SLAs.Troubleshoot incidents, perform root cause analysis and drive service improvements.Support AI governance, security, compliance and Responsible AI requirements.Collaborate with architects, engineers and business stakeholders to operationalise AI solutions.Contribute to AI platform strategy, standardisation and adoption of best practices.Your Skills:5+ Years on DevOps & Platform Engineering, 3+ on AI OpsStrong experience with Azure and/or AWS cloud platforms.Hands-on experience supporting AI, ML or Generative AI solutions in production.Knowledge of Azure OpenAI, Azure AI Services, Amazon Bedrock and/or SageMaker.Understanding of LLMs, RAG architectures, AI Agents and modern AI patterns.Experience in Platform Engineering, DevOps and cloud operations.CI/CD, Infrastructure as Code (Terraform, Bicep, CloudFormation) and automation expertise.Proficiency in Python and scripting.Experience with Docker, Kubernetes, GitHub Actions and/or Azure DevOps.Knowledge of monitoring, observability, reliability engineering and operational supportLangChain, Semantic Kernel, CrewAI or AutoGen.Vector databases and AI orchestration frameworks.Databricks, Microsoft Fabric or enterprise data platforms.MLOps, ModelOps and AIOps practices.Experience in regulated or large-scale enterprise environments.Consulting experience delivering cloud, platform or AI transformation initiatives.Preferred CertificationsAzure AI Engineer AssociateAzure DevOps Engineer ExpertAWS AI PractitionerAWS Machine Learning Engineer / SpecialtyAWS DevOps Engineer ProfessionalKubernetes (CKA/CKAD)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, andMeet 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 thinktanks 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 day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.Why you should consider Capgemini:Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.Make it real | www.capgemini.com