Overview
Capgemini Invent – Glasgow, Manchester, London. We are seeking an AI engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding data and AI solutions in business, scale AI solutions responsibly and reliably, and ensure value creation and impact by moving from lab to live with the right solutions, practices, and guardrails.
Your Role
- Assessing and implementing robust MLOps framework, governance and best practices as per industry standards
- Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring
- Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and others
- Translating AI use case requirements into data and AI architectures using the most suitable cloud services across hyperscalars
- Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS
- Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible
- Translating business and functional requirements into technical blueprints and guiding multi-disciplinary teams to execute them
- Collaborating with Product Managers, Data Scientists and Business stakeholders to ensure AI solutions drive business value and impact
Role & Growth
- Contribution to business and personal growth through activities in: Business Development, Internal contribution, and Capability Development
Your Profile
- Experience in a major Consulting firm or industry with a Consulting mindset and ability to operate in a matrixed organisation; experience engaging client sponsors and cross-functional teams to design requirements and deliver solutions
- Experience designing and implementing MLOps strategy and delivering AI/ML solutions at scale
- Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks
- Experience designing cloud-native data and AI architectures across Azure, GCP, AWS and/or Databricks
- Ability to demonstrate the potential of scaling AI to unlock business value and impact
Your Technical Expertise
This list shows the technologies we work with most often. We don’t expect you to have experience in all of them – what matters is a strong foundation and a good cross-section of these skills, along with adaptability to learn new tools. We like to innovate and need self-driven, fast-paced learners.
- Experience with at least one major cloud platform: Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)
- Experience building and automating AI/ML pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK
- Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar
- Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs
- Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes
Nice to have
- Familiarity with evaluating AI system performance, including prompt evaluation, A/B testing, and quality assessment frameworks
- Understanding of modern data patterns: lakehouse architectures, vector databases, and relational/NoSQL stores
- Familiarity with API gateways, event streaming and general integration patterns
Eligibility
- You need to have resided in the UK for the last 5 years to be able to apply for this role
What You’ll Love About Working Here
We’re a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, deploy, and you will see your work come to life in the real world. Technology moves fast and we are a group of tech enthusiasts who push boundaries, experiment freely, and are trusted to explore what comes next. Our in-house projects highlight possibilities with the newest models and agentic frameworks, regularly showcased at major events and conferences. We seek curious, driven individuals who want to build the future with us.
Need to know: We have received recognitions and promote diversity, flexible working, wellbeing, and social impact initiatives. London, Manchester or Glasgow are base locations with flexible assignment possibilities; roles may require periods away from home. Remuneration includes flexible benefits and a variable component based on grade and performance.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transition. It employs 350,000+ people in 50+ countries, with revenue of €22.1 billion in 2024. Capgemini Invent is part of Capgemini, focusing on strategy, design, and engineering powered by AI, cloud, and data.
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