Gen AI Architect

About the job you are considering

Capgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role

We are seeking an experienced AI Solution Architect to design and implement data-driven solutions using a variety of cloud platforms and cutting-edge technologies. The ideal candidate will have a strong background in cloud computing, AI data architecture, and AI solution architecture, with hands-on experience in cloud platforms such as Snowflake, Azure, AWS, GCP, and Databricks.

• Experience in solution architecture, ML/AI engineering, or platform engineering, with experience on GenAI/LLM solutions.
• Proven delivery of production GenAI systems (RAG, tool use, agents) at enterprise scale.

Your Skills and Experience

• LLMs & Embeddings: model families, context management, fine tuning/adapter methods, prompt engineering.
• Agentic AI: planners, executors, memory, tool routing, multi-agent collaboration, safety and oversight
• Data & Infra: vector DBs (CosmosDB, Pinecone, Redis, PgVector, Azure AI Search), data lakes/warehouses, microservices, APIs, containers (Docker/K8s), serverless
• Cloud: Azure, AWS, or GCP—identity, networking, secrets, observability, and cost control
• MLOps/LLOps: model/prompt versioning, A/B testing, monitoring, evaluation pipelines.
• Excellent communication, stakeholder engagement, and consultative problem solving skills.

Preferred (Nice to Have)

• Experience with Semantic Kernel, LangChain, LlamaIndex, LangGraph or custom orchestration libraries.
•  Evaluation & Safety tooling: prompt injection detectors, redaction, policy engines.
• Experience with domain compliance (financial services, telco, healthcare, public sector).
•  Hands-on with vectorization strategies, multilingual retrieval, and knowledge graph augmentation.

Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com