{"id":1808450,"url":"https://alion.io/job/capgemini-devops-ai-platform-architecture-london-uk","title":"DevOps AI Platform Architecture - London, UK","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1716,"ghost_share":0,"stale_share":0.781,"repost_share":0.002,"time_to_fill_p50_days":28,"computed_at":"2026-10-15T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":131000,"period":"year","method":"role_country_seniority_unknown","sample_n":188},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Incident Management","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PoC Library","optional":false}],"status":"live","first_seen_at":"2026-07-07T14:32:22Z","employer_posted_date":"2026-07-07","last_verified_at":"2026-10-15T20:55:47Z","board_verified":true,"closed_at":null,"days_open":100,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":99},"description":"Job Role: DevOps AI Platform Architecture\nLocation: London, UK\n\nAbout the Job you are considering:\nAs a DevOps 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, DevOps practices, automation, and artificial intelligence, allowing me to create robust platforms that accelerate innovation and business value.\nHybrid working:\nThe 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.\nYour Role:\nDesigning and implementing AI platform architectures using cloud services such as Microsoft Azure, AWS, or Google Cloud. \nEstablishing CI/CD and MLOps pipelines to automate model training, testing, deployment, and monitoring. \nManaging containerized workloads using Docker and Kubernetes for scalability and reliability. \nEnsuring platform security, compliance, governance, and cost optimization through best practices and automation. \nCollaborating with data scientists, developers, security teams, and business stakeholders to deliver enterprise-grade AI solutions. \nImplementing observability, monitoring, and incident management processes to maintain platform performance and availability. \nEvaluating and integrating emerging technologies in Generative AI, platform engineering, and cloud-native ecosystems to drive innovation.\nYour Skills:\nDefine and document global AI platform patterns Discovery Zone BYOD end-to-end ML lifecycle reference architectures and obtain approvals through architecture forums\nDesign Model Serving Architecture\nPartner with the AI Tech Lead on the Model Serving PoC and define the end-to-end architecture for scalable and secure model deployment\nDefine MLOps Architecture\nDefine and document MLOps architecture using learnings from the Model\nServing PoC and drive approvals for standardization\nEnable LLM Strategic Capabilities\nAssess different capabilities for LLM Azure AI foundry Bedrock and Databricks and take design decisions for approval\nWork with security Data protection office other architecture teams to align them with the decision and secure approvals for roll out\nDocument the low level design for LLM roll out to different use case\nEvolve Platform Capabilities\nDrive incremental platform capabilities Responsible AI GenAI Data Governance etc aligned with the approved L2 architecture\n\nWe are a Disability Confident Employer:\nCapgemini 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:\nDeclare they have a disability, and \nMeet the minimum essential criteria for the role.\nPlease opt in during the application process.\nMake It Real (what does it mean for you):\nYou’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.\n\nYou 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 ManageMentor, Cybersecurity qualifications and much more.\nYou 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.\nWhy you should consider Capgemini:\nGrowing 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.\nAbout Capgemini:\nCapgemini 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. 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