Location<\/strong><\/td>\n| Bristol<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n This role is for an experienced Lead AI Engineer who can take advanced artificial intelligence, machine learning, and generative AI solutions from early concept through to enterprise deployment. The emphasis is on turning prototypes into dependable business systems, with the right engineering practices, controls, and operating model in place so that AI can be scaled safely, reliably, and with clear commercial value.<\/p>\n What you will do<\/h3>\n\n- Design and deliver complete AI and machine learning solutions end to end, covering data preparation, model development, deployment, feature stores, model governance, and live monitoring.<\/li>\n
- Build and operationalise enterprise generative AI and agentic AI solutions using modern frameworks and tooling, including technologies such as ADK, LangGraph, Microsoft Agent Framework, LlamaIndex, and related platforms.<\/li>\n
- Translate business use cases into practical AI and data architectures, choosing suitable cloud services across major hyperscale environments.<\/li>\n
- Lead multidisciplinary teams through complex delivery work and help coordinate technical execution across different specialist areas.<\/li>\n
- Architect and implement generative AI systems such as retrieval-augmented generation pipelines, agent-based workflows, and orchestration layers for large language models on Azure, GCP, or AWS.<\/li>\n
- Embed safety, evaluation, and assurance controls throughout the AI lifecycle so that solutions are responsible, explainable, and ethically designed.<\/li>\n
- Work closely with product managers, data scientists, and business stakeholders to ensure the solutions delivered create real business impact.<\/li>\n
- Support business development by creating client-ready demonstrations and proof-of-value materials, contributing to proposals, and leading technical discussions where needed.<\/li>\n
- Develop reusable frameworks, assets, and delivery patterns that can be shared across accounts and used to improve speed and consistency of delivery.<\/li>\n
- Contribute to internal capability building and thought leadership through blogs, accelerator development, and knowledge sharing on topics such as agentic AI, LLM operations, and evaluation frameworks.<\/li>\n<\/ul>\n
What the team is looking for<\/h3>\n\n- Experience in a major consulting environment, or in an industry role where you have worked with a consulting mindset, including the ability to operate effectively in a matrixed organisation and win support from colleagues when selling and delivering solutions.<\/li>\n
- Experience partnering with both technical and non-technical client sponsors to shape requirements collaboratively and turn them into workable solutions.<\/li>\n
- A proven background in designing and implementing MLOps strategies and frameworks, together with a strong record of delivering AI and machine learning systems at scale from idea through to production.<\/li>\n
- Strong understanding of generative AI and agentic AI, including retrieval-augmented generation, embeddings, evaluation harnesses, and orchestration frameworks.<\/li>\n
- Experience creating cloud-native data and AI architectures across platforms such as Azure, GCP, AWS, and\/or Databricks.<\/li>\n
- The ability to demonstrate how scaling AI can unlock business value and measurable impact.<\/li>\n
- Hands-on experience deploying and scaling AI solutions on at least one major cloud platform, such as Azure, GCP, or AWS, using services like Azure Foundry, AI Studio, OpenAI, AKS, Vertex AI, Cloud Run, Bedrock, or SageMaker.<\/li>\n
- Experience building and automating AI and machine learning pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow, or Google ADK.<\/li>\n
- Practical experience with generative and agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, Google ADK, or similar tools.<\/li>\n
- Ability to design and implement retrieval-augmented generation pipelines, agent workflows, MCP, and integrations with LLM APIs such as OpenAI, Anthropic, or Hugging Face.<\/li>\n
- Strong capability in CI\/CD and containerisation, including GitHub Actions, Azure DevOps, Docker, and Kubernetes.<\/li>\n
- Useful additional experience would include AI evaluation methods such as prompt testing, A\/B testing, and quality assessment frameworks.<\/li>\n
- It would also be helpful to understand modern data patterns such as lakehouse architectures, vector databases, and relational or NoSQL stores.<\/li>\n
- Familiarity with API gateways, event streaming, and general integration patterns would also be an advantage.<\/li>\n
- The role is intended for experienced professionals and is offered on a permanent basis.<\/li>\n
- Applicants must have lived in the UK for the last five years in order to be eligible to apply.<\/li>\n<\/ul>\n
Working environment and culture<\/h3>\nThe organisation describes itself as a team of ambitious technology specialists who enjoy bringing the newest tools into real client environments and seeing their work used in production. The work spans both public and private sector clients, and the company highlights a culture of experimentation, innovation, and practical delivery rather than theory alone.<\/p>\n There is a strong focus on staying close to fast-moving technology, with encouragement to explore emerging models and agentic frameworks. The business says it values people who are curious, self-starting, and motivated to build the future through hands-on innovation.<\/p>\n Hybrid working is part of the normal way of working, and flexible working arrangements are available to UK employees. The role has an office base, but you should also be prepared for assignment locations to change and for periods away from home at short notice depending on project needs.<\/p>\n Rewards and support<\/h3>\n\n- A flexible benefits package that can be tailored to your personal circumstances.<\/li>\n
- A variable pay component linked to grade and to company and individual performance.<\/li>\n
- Access to flexible working arrangements, which UK employees can request.<\/li>\n
- Support for wellbeing through trained Mental Health Champions across the business.<\/li>\n
- Access to wellbeing applications such as Thrive and Peppy.<\/li>\n
- A workplace culture that actively promotes diversity, inclusion, and the ability to bring your whole self to work.<\/li>\n
- Recognition as one of the UK\u00e2\u0080\u0099s best places to work by Glassdoor for two years running.<\/li>\n
- A commitment to positive social impact, including reducing the company\u00e2\u0080\u0099s carbon footprint and improving access to the digital world.<\/li>\n
- Recognition for ethical business practice from the Ethisphere Institute.<\/li>\n<\/ul>\n
Additional details<\/h3>\nThis is a permanent position for an experienced professional. The posting references a London base, with additional locations listed in Newcastle upon Tyne, Birmingham, and Bristol. The reference code is 404560, and the role was posted on 25 August 2026. The professional community for this position is Data & AI.<\/p>\n\n Degree Requirement:<\/strong> Not Specified<\/p>\nVisa Sponsorship May be<\/strong><\/p>\n","protected":false},"author":1,"featured_media":0,"template":"","meta":{"_acf_changed":false,"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_promoted":"","_job_location":"Bristol","_application":"https:\/\/careers.capgemini.com\/job\/London-Lead-AI-Engineer\/1289033701\/","_company_name":"Capgemini","_company_website":"","_company_tagline":"","_company_twitter":"","_company_video":"","_filled":0,"_featured":0,"_remote_position":0,"_job_salary":"","_job_salary_currency":"GBP","_job_salary_unit":"yearly"},"job-types":[38],"class_list":["post-3428","job_listing","type-job_listing","status-publish","job-type-experienced"],"acf":[],"jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-listings\/3428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-listings"}],"about":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/types\/job_listing"}],"author":[{"embeddable":true,"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/users\/1"}],"wp:attachment":[{"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/media?parent=3428"}],"wp:term":[{"taxonomy":"job_listing_type","embeddable":true,"href":"https:\/\/coderseditor.com\/itjobs\/wp-json\/wp\/v2\/job-types?post=3428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} |