Capgemini
Lead AI Engineer
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Lead AI Engineer
About the Role
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 role focuses on bridging the gap between AI prototypes and embedding these solutions into business operations.
In this position, you will play a key part in:
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Designing and delivering end-to-end AI/ML systems, including:
- Data preparation
- Model development
- Deployment
- Feature stores
- Model management and monitoring
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Developing solutions using the latest Generative AI and Agentic Frameworks, such as:
- ADK (Autonomous Decision Kits)
- Langgraph (Microsoft Agent Framework)
- Llamaindex
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Translating AI use case requirements into data and AI architectures using hyperscalar cloud services (Azure, GCP, AWS).
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Leading multi-disciplinary teams to execute complex requirements.
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Architecting and implementing Generative AI solutions, including:
- RAG (Retrieval-Augmented Generation) pipelines
- Agentic workflows
- Orchestration of large language models (LLMs) across clouds.
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Embedding safety, evaluation, and assurance mechanisms to ensure ethical, explainable, and responsible AI.
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Collaborating with Product Managers, Data Scientists, and Business Stakeholders to drive business value.
As part of your role, you’ll also have opportunities to grow both professionally and contribute to the business through:
- Business Development – Building client-ready demos/POVs, supporting proposals and technical deep dives, and showcasing delivery patterns.
- Internal Contribution – Developing reusable assets, frameworks, and best practices to accelerate cross-account delivery.
- Capability Development – Contributing to thought leadership in topics such as:
- Agentic AI
- LLMOps
- Evaluation frameworks
What You’ll Bring
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Required Experience
You must bring a consulting mindset, with experience in a major consulting firms or comparable industry roles. Key requirements include:
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Experience working in matrixed organisations, driving collaboration and commitment across peers.
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Ability to translate technical and non-technical client sponsors' requirements into solutions collaboratively.
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Proven track record in designing and implementing MLOps strategies and scaling AI/ML solutions from concept to production at enterprise level.
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Deep understanding of:
- Generative AI
- Agentic AI
- RAG pipelines
- Embeddings
- Evaluation harnesses
- Orchestration frameworks.
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Experience designing cloud-native data and AI architectures on platforms like:
- Azure (Foundry, AI Studio, OpenAI, AKS)
- GCP (Vertex AI, Cloud Run)
- AWS (Bedrock, SageMaker)
- Databricks
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Demonstrated ability to scale AI solutions and showcase business value and impact.
Technical Expertise
While not expecting mastery of every listed tool, your profile should cover a strong cross-section:
- Deploying and scaling AI solutions on Azure, GCP, or AWS.
- Building automated AI/ML pipelines using:
- MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow, or Google ADK.
- Experience with Generative/Agentic AI frameworks such as:
- LangChain, LlamaIndex, CrewAI, Autogen, Google ADK.
- Designing RAG, agentic workflows, and LLM API integrations with vendors like OpenAI, Anthropic, or Hugging Face.
- Proficiency in CI/CD and containerisation (GitHub Actions, Azure DevOps, Docker, Kubernetes).
Nice-to-Have Skills
- Familiarity with:
- AI evaluation frameworks (prompt evaluation, A/B testing, quality assessments).
- Modern data patterns (lakehouse architectures, vector databases, relational/NoSQL stores).
- API gateways, event streaming, and general integration patterns.
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Eligibility
- Must have resided in the UK for the past 5 years to apply.
About Capgemini
What You’ll Love About Working Here
Capgemini is a thriving community of ambitious technologists, delivering cutting-edge solutions to clients across both public and private sectors. Our culture thrives on innovation and real-world impact, allowing you to:
- See your work live in production, driving tangible change.
- Work within a fast-moving tech environment, pushing boundaries with emerging LLMs and agentic frameworks in-house.
- Contribute to thought leadership and innovative projects.
- Join a team that loves technology and builds the future.
Key Benefits
- Flexible Hybrid Work: Every UK employee is eligible to request flexible working arrangements.
- Hybrid Culture: Embedded in our operations, allowing a balanced and adaptable work-life integration.
- DivL+I (Diversity & Inclusion): Actively championed through core values and the Active Inclusion Campaign to foster an inclusive and diverse workplace.
- Employee Wellbeing: With support like:
- Mental Health Champions across business areas. -Access to wellbeing apps such as Thrive and Peppy.
- Tech for Social Impact: Committed to reducing the carbon footprint and improving access to a digital world.
- Recognition: Named among the world’s most ethical companies by the Ethisphere Institute (10-year accolade).
Role Adaptability
- While you’ll have an office base location, you must be fully flexible for potential away assignments at short notice.
- Competitive remuneration packages, including:
- Flexible benefits tailored to personal needs.
- Variable elements for role-based and performance-dependent growth.
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Jessica, London
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