AI Engineering Consultant​/Senior Consultant

Firm

Capgemini Invent

Glasgow, Manchester, London

Competitive

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‑edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

• 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.
• 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 drive business value and impact.

• 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.

• 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 with at least one major cloud platform:
  Azure (Foundry, AI Studio, OpenAI, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, Sage Maker).
• 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 Lang Chain, Llama Index, 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:
  Git Hub Actions, Azure Dev Ops, Docker, Kubernetes.

• 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/No
  
  SQL stores.
• Familiarity with API gateways, event streaming and general integration patterns.