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About the Role

As an AI engineer at Capgemini Invent, you will design, build, and operationalize advanced AI, Machine Learning, and Generative AI systems at enterprise scale. This role bridges the gap between AI prototypes and embedding data and AI solutions in business, scaling solutions responsibly and reliably to ensure business value creation and impact.

Responsibilities

• Assess and implement robust MLOps frameworks, governance, and best practices.
• Design and deliver end-to-end AI/ML systems, including data preparation, model development, deployment, feature stores, and monitoring.
• Deliver solutions using GenAI and Agentic Frameworks like ADK, Langgraph, Microsoft Agent Framework, and Llamaindex.
• Translate AI use case requirements into data and AI architectures using cloud services.
• Architect and implement Generative AI solutions, including RAG pipelines, agentic workflows, and LLM orchestration across Azure, GCP, or AWS.
• Embed safety, evaluation, and assurance mechanisms across the AI lifecycle for ethical, explainable, and responsible solutions.
• Translate business and functional requirements into technical blueprints and guide execution.
• Collaborate with stakeholders to ensure AI solutions drive business value and impact.
• Build client-ready demos/POVs, support proposals, and showcase delivery patterns.
• Build reusable assets and frameworks to accelerate delivery.
• Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics.

Requirements

• Experience working in a major consulting firm or industry with a consulting mindset and proven ability to succeed in a matrixed organization.
• Experience working with client sponsors to collaboratively design requirements and build solutions.
• Experience designing and implementing MLOps strategy and framework.
• Proven track record in designing and delivering AI/ML solutions at scale, from concept to production.
• Deep understanding of Generative AI and Agentic AI, including 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 how scaling AI unlocks business value and impact.
• Resided in the UK for the last 5 years.

Skills

• Azure (Foundry, AI Studio, OpenAI, AKS)
• GCP (Vertex AI, Cloud Run)
• AWS (Bedrock, SageMaker)
• MLflow
• Kubeflow
• Azure ML
• Vertex Pipelines
• Airflow
• Google ADK
• LangChain
• LlamaIndex
• CrewAI
• Autogen
• OpenAI API
• Anthropic API
• Hugging Face API
• CI/CD
• GitHub Actions
• Azure DevOps
• Docker
• Kubernetes
• AI system performance evaluation
• Prompt evaluation
• A/B testing
• Quality assessment frameworks
• Lakehouse architectures
• Vector databases
• Relational/NoSQL stores
• API gateways
• Event streaming
• Integration patterns

Location

• London
• Manchester
• Glasgow

Work Type

• Hybrid working
• Flexible working arrangements

Experience Level

• Senior

Salary/Compensations

• Remuneration package includes flexible benefits options and a variable element dependent on grade and company/personal performance.

Benefits

• Flexible benefits options
• Wellbeing support (Thrive, Peppy, Mental Health Champions)
• Opportunities for professional growth and development
• Focus on positive social impact and sustainability

About the Company

• Capgemini Invent is a global business and technology transformation consultancy that blends strategic, creative, and scientific capabilities to deliver cutting-edge solutions.
• Capgemini is a global business and technology transformation partner, helping organizations accelerate their digital and sustainable transitions.
• A responsible and diverse group of 350,000 team members in more than 50 countries.
• Over 55-year heritage, trusted by clients to unlock the value of technology.
• Delivers end-to-end services and solutions from strategy and design to engineering.
• Market-leading capabilities in AI, cloud, and data, combined with deep industry expertise.
• Reported 2024 global revenues of €22.1 billion.

Equal Opportunity

• We don’t just believe in Diversity & Inclusion, we actively go out to making it a working reality.
• We build environments where you can bring your whole self to work.
• Named one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.