Firm
Capgemini Invent
Location
London, Manchester, Glasgow
Benefits
Competive
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CAPGEMINI INVENT
About 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, super‑powered by creativity and design, all underpinned by technology created with purpose.
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, and monitoring
* Delivering solutions using the latest Generative AI and Agentic Frameworks such as ADK, Langgraph, Microsoft Agent Framework, Llamaindex and others
* 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
Role – Personal Growth & Contribution
* 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 or with a consulting mindset, successfully operating in a matrixed organization and enlisting support from peers to sell and deliver solutions
* Proven ability to collaborate with client sponsors, both technical and non‑technical, to design requirements and build out solutions
* Experience designing and implementing MLOps strategy and framework with a track record of 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
* Ability to demonstrate the business value and impact unlocked by scaling AI
Your Technical Expertise
* 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, relational/NoSQL stores
* Familiarity with API gateways, event streaming and general integration patterns
Eligibility
* You must have resided in the UK for the last 5 years to be eligible 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; our impact is tangible because we innovate, deploy, and see our work come to life in the real world. Technology moves fast, and so do we. We 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 showcase our work at major events and conferences – then bring it to our clients to bring it to life, completing the full innovation tech cycle.
NEED TO KNOW
We are delighted to have received the Glassdoor Best Places to Work UK accolade for 5 consecutive years. In addition, Capgemini champions diversity & inclusion, offers flexible working arrangements, provides mental health support and wellbeing apps, and focuses on reducing our carbon footprint. We are one of the world’s most ethical companies for the 10th year. All UK employees are eligible to request flexible working arrangements. You must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organisations to accelerate their digital and sustainable transitions, creating tangible impact for enterprises and society. With more than 350,000 team members across 50+ countries and a 55‑year heritage, Capgemini is trusted to unlock technology value across the entire breadth of business needs. It delivers end‑to‑end services and solutions, fuelled by market‑leading capabilities in AI, cloud and data with deep industry expertise and partner ecosystem. Group reported 2024 global revenues of €22.1 billion.
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