AI Engineering Consultant​/Senior Consultant

CAPGEMINI INVENT

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.

We're seeking an AI engineer who can design, build, and ope rationalise 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.

• 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 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, 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.

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 at least one major cloud platform:
  Azure (Foundry, AI Studio, OpenAI,…