# Lead AI Engineer

Source: https://realanalystjobs.com/job/lead-ai-engineer-capgemini-42cf5957
Lead AI Engineer at Capgemini, an on-site role based in London, UK. Experience level: 5 Years. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Capgemini is on the Home Office register of licensed visa sponsors.

Updated 15 November 2026.

## Key facts

- Company: [Capgemini](https://realanalystjobs.com/companies/capgemini)
- Location: London, UK
- Work mode: On-site
- First seen: Nov 15, 2026
- Employment type: Full time
- Experience level: 5 Years
- Source: Capgemini's careers page (Capgemini), re-checked daily

Skills: AWS, Azure, Airflow

## Visa sponsorship

The posting does not say.

Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record)

Licensed UK sponsor. Licensed by the Home Office to sponsor Skilled Worker visas (register of 27 Oct 2026). A licence means the employer can sponsor; it does not mean every role will be sponsored. Listed as Capgemini UK PLC (London).

## About this role

About the Role

Lead AI Engineer

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.

In this position you will play a key part in:

• 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
• Leading multi-disciplinary teams to execute complex requirements
• 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.
• Collaborating with Product Managers, Data Scientists and Business stakeholders to ensure AI solutions drives business value and impact.

As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:

• 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 and 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.

What you will bring

We’d love to meet someone with:

• 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.

Experience Required

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 the adaptability and curiosity to learn new tools as projects demand. We like to innovate and need self-driven, fast-paced learners in our team.

• 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

About Capgemini

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.
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.

NEED TO KNOW

We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 2 consecutive years, to see what it’s like to work at Capgemini, visit our Glassdoor page
At Capgemini we don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality. Driven by our core values and Active Inclusion Campaign, we build environments where you can bring you whole self to work.

We aim to build a

Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/lead-ai-engineer-capgemini-42cf5957) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes.

## Capgemini

222 open analyst roles on Real Analyst Jobs. [More roles at Capgemini](https://realanalystjobs.com/companies/capgemini)

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## Sources and links

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