AI Engineering Consultant / Senior Consultant

Capgemini; Glasgow; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading transformation consultancy is looking for an AI Engineer to design and operationalise advanced AI and Machine Learning systems. This role involves collaborating with diverse teams to implement end-to-end AI solutions that drive business value and ensure ethical practices. Ideal candidates will have experience with Generative AI frameworks and cloud-native architectures, along with strong MLOps knowledge. Join to innovate and make an impactful difference in real-world projects.

Qualifications

• Experience in a major consulting firm with matrixed organization support.
• Proven track record in AI/ML solution delivery from concept to production.
• Understanding of Generative and Agentic AI.

Responsibilities

• Design and deliver end-to-end AI/ML systems.
• Translate AI requirements into architectures using cloud services.
• Collaborate with cross-functional teams to drive business value.

Skills

AI/ML pipeline automation

MLOps strategy

Generative AI frameworks

Cloud-native architectures

CI/CD and containerization

Tools

Azure

GCP

AWS

MLflow

Kubeflow

Job description

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 operationalise 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.

YOUR ROLE

• 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.

YOUR PROFILE

• 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.

Your Technical Expertise

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, AKS), GCP (Vertex AI, Cloud Run), AWS (Bedrock, SageMaker)
• 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 LangChain, LlamaIndex, 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: GitHub Actions, Azure DevOps, Docker, Kubernetes.

Nice to haves

• 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/NoSQL stores
• Familiarity with API gateways, event streaming and general integration patterns.

Eligibility

• You need to have resided in the UK for the last 5 years to be able to apply for this role.

WHAT YOU'LL LOVE ABOUT WORKING HERE

We're a fantastic team of bright, ambitious people who love bringing the latest tech to real clients in production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible because we innovate, we deploy, and you will see your work come to life in the real world.

Technology moves fast, and so do we. We're a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what comes next. Our in‑house projects highlight what's possible with the newest models and agentic frameworks, and we regularly showcase our work at major events and conferences – and then we bring it to our clients to bring it to life, completing the full innovation tech cycle.

We're looking for more people with the curiosity, drive, and self‑starting spirit of real innovators, people who love technology and want to build the future with us.