Job Description
We're seeking a Lead 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. You'll scale AI solutions responsibly and reliably, ensuring they move from lab to live by building the right solutions, practices, and guardrails while ensuring business value creation and impact.
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 model management
* Delivering solutions using the latest GenAI and Agentic Frameworks, such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and other
* 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 drives business value and impact.
Opportunities for Growth
* Business Development - Build client-ready demos/POVs, support proposals and technical deep-dives, and showcase delivery patterns.
* Internal contribution - Build reusable assets and frameworks that accelerate delivery across accounts, shape frameworks for Capgemini's Data & AI Innovation team, support capability development by contributing to our internal communities and best practices.
* Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks.
YOUR PROFILE
* Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions.
* Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
* 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.
* The ability to demonstrate the potential that scaling AI unlocks business value and impact.
Your Technical Expertise
* Experience with deploying and scaling AI solutions using 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 (OpenAI, Anthropic, Hugging Face OR similar).
* Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes.
Nice to haves
* 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, we deploy, and you will see your work come to life in the real world. Technology moves fast, and so do we. We're a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what comes next. Our in-house projects highlight what's possible with the newest models and agentic frameworks, and we regularly showcase our work at major events and conferences - and then we bring it to our clients to bring it to life, completing the full innovation tech cycle. We're looking for more people with the curiosity, drive, and self-starting spirit of real innovators, people who love technology and want to build the future with us.
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
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