AI Engineering Consultant / Senior Consultant

AI Engineering Consultant / Senior Consultant Overview

Capgemini Invent is looking for an AI Engineering Consultant or Senior Consultant who can help clients move advanced artificial intelligence from experimentation into real-world use at enterprise scale. The role sits within a team that combines strategy, creativity, science, and technology to solve complex business problems. The emphasis is on building practical AI, machine learning, and generative AI solutions that are robust, responsible, and ready for production, rather than simply creating prototypes.

The successful person will help bridge the gap between proof-of-concept work and live business deployment. That means designing the right technical foundations, putting in place the controls and operating practices needed for safe and reliable delivery, and ensuring that AI initiatives create measurable value for clients.

What you will do

• Assess existing MLOps approaches and introduce a stronger framework, governance model, and set of best practices aligned to industry standards.
• Design and deliver complete AI and machine learning systems from start to finish, including data preparation, model development, deployment, feature stores, model lifecycle management, and ongoing monitoring.
• Build and operationalise solutions using modern generative AI and agentic AI frameworks, with experience across tools such as ADK, LangGraph, Microsoft Agent Framework, LlamaIndex, and similar technologies.
• Translate client AI use cases into practical data and AI architectures, choosing the most appropriate cloud services across hyperscaler platforms.
• Architect and implement generative AI solutions such as retrieval-augmented generation pipelines, agent-based workflows, and orchestration of large language models on Azure, GCP, or AWS.
• Embed safety, evaluation, and assurance controls throughout the AI lifecycle so that solutions are ethical, explainable, and responsible.
• Turn business and functional needs into technical blueprints, then help multidisciplinary teams deliver against those designs.
• Work closely with product managers, data scientists, and business stakeholders to ensure the solutions delivered have clear business impact.
• Create client-ready demonstrations and proof-of-value materials, contribute to proposals, and support technical deep-dive discussions during business development activity.
• Develop reusable assets, frameworks, and delivery patterns that can be used across accounts and help strengthen Capgemini’s Data & AI Innovation capability.
• Contribute to internal and external thought leadership through blog posts, accelerator development, and knowledge sharing on topics such as agentic AI, LLMOps, and evaluation frameworks.

What the team is looking for

• Experience in a major consulting firm, or in industry with a consulting-oriented mindset, plus the ability to work effectively in a matrixed organisation and gain commitment from colleagues when selling and delivering solutions.
• Experience collaborating with both technical and non-technical client sponsors to shape requirements and develop solutions together.
• A strong record of defining and implementing MLOps strategy and frameworks, and of delivering AI and machine learning solutions from concept through to production at scale.
• Deep knowledge of generative AI and agentic AI, including retrieval-augmented generation, 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 how scaling AI can create business value and meaningful impact.
• Hands-on experience with at least one major cloud platform, such as Azure, GCP, or AWS, including services like Azure Foundry, AI Studio, OpenAI, AKS, Vertex AI, Cloud Run, Bedrock, or SageMaker.
• Experience building and automating AI and machine learning pipelines using tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow, or Google ADK.
• Practical use of generative and agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar tools.
• Ability to design and implement retrieval-augmented generation pipelines, agentic workflows, MCP, and integrations with LLM APIs such as OpenAI, Anthropic, or Hugging Face.
• Strong capability in CI/CD and containerisation, including GitHub Actions, Azure DevOps, Docker, and Kubernetes.
• Useful additional experience would include AI evaluation methods such as prompt testing, A/B testing, and quality assessment frameworks.
• It would also be helpful to understand modern data patterns such as lakehouse architectures, vector databases, and relational or NoSQL stores.
• Familiarity with API gateways, event streaming, and general integration patterns would be an advantage.
• To apply, you must have lived in the UK for the last five years.

Working environment and culture

This role is based from one of Capgemini’s UK offices in London, Manchester, or Glasgow, but the person in post must be fully flexible about assignment location. The work may involve spending time away from home at short notice.

Capgemini Invent describes itself as a team of ambitious people who enjoy bringing the latest technology into live client environments. The work spans both public and private sector organisations, and the company places value on seeing ideas move all the way from innovation to deployment and real-world impact.

The team works with fast-moving technology, experiments with new approaches, and is trusted to explore what comes next. Internal projects showcase the latest models and agentic frameworks, and the team regularly presents its work at major events and conferences before taking those ideas to clients.

The organisation also highlights its commitment to diversity and inclusion, flexible working, employee wellbeing, and social and environmental responsibility. It aims to create an environment where people can bring their whole selves to work and maintain a healthy work-life balance.

Benefits and support

• A remuneration package that includes flexible benefits you can choose to suit your personal circumstances.
• A variable pay component linked to grade, company performance, and individual performance.
• Hybrid working is part of the normal way of working.
• All UK employees can ask for flexible working arrangements.
• Access to wellbeing support, including trained Mental Health Champions across the business.
• Wellbeing apps such as Thrive and Peppy are available.
• Recognition as a Glassdoor Best Place to Work in the UK for five consecutive years.
• Recognition by the Ethisphere Institute as one of the world’s most ethical companies for ten years.

About Capgemini

Capgemini is a global business and technology transformation partner that helps organisations accelerate both digital and sustainable change while creating tangible value for enterprises and society. It is a large, diverse group with hundreds of thousands of employees across more than 50 countries. The company combines strategy, design, engineering, AI, cloud, data, and industry expertise to deliver end-to-end services and solutions.

The posting lists the role as a permanent position for experienced professionals and notes office base locations in London, Glasgow, or Manchester. The reference code is 379167 and the posting date shown is 21 August 2026.

To apply, candidates should use the application process provided on the job page, including the option to start an application directly or begin with LinkedIn.

Degree Requirement: Not Specified

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