AI Solution Architect

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Your Role

We are seeking a hands-on AI Solution Architect (Senior Consultant / Manager) - with recent experience in GenAI, RAG, and Agentic AI to lead both client delivery and solution design. This is a hybrid role combining delivery leadership, technical architecture, and pre-sales ownership. Ideal for a Lead/Senior AI/ML Engineer, Tech Lead, or Junior AI Architect who is ready to step into a broader solution architect role and keen to move into a consultative and client facing role while staying technical.

Responsibilities

Client facing and project delivery:

• Design and architect end-to-end GenAI/LLM-based solutions, including RAG pipelines, agent frameworks, vector databases, and orchestration layers
• Act as Solution Architect and/or Technical Lead on client projects—guiding technical teams and ensuring quality, scalability, and performance
• Lead and facilitate architecture workshops with business and technical stakeholders to define future-state solutions
• Build and present demos and proof-of-concepts using a variety of GenAI tools, frameworks, and models (open-source or commercial)

Commercial:

• Drive the technical side of pre-sales, collaborating with sales and engagement teams to shape winning proposals
• Led the discovery workshop/session

Technical:

• Stay hands-on and up-to-date with evolving GenAI / Agentic AI tech stack: LLM APIs, prompt frameworks, agent orchestration, and cloud-native ML tools, application, data platform, and AI platform

Practice development:

• Drive the technical capabilities and reusable technical assets, including reference architecture, code baseline, reference technical documentation template
• Drive all technical conceptual framework development and provide thought leadership in cooperation with other consulting colleagues
• Mentor junior engineers and ensure delivery excellence across engagements

Your Profile

• 5-7 years’ experience in consulting or tech services
• 2–3 years of recent experience building or designing GenAI / RAG / Agentic AI systems
• Strong Data/AI/ML software engineering background with hands-on experience in Python, APIs, embeddings, vector stores, and orchestration tools (LangChain, LangGraph, CrewAI, etc.), LLMOps/MLOps
• Experience with LLMs (e.g., OpenAI, Claude, Mistral), vector DBs (e.g., FAISS, Pinecone, Chroma, etc)
• Experience with cloud platforms (Azure, AWS or GCP) or Cloud agnostic platform such as Databricks
• Experience with productionize AI/ML model and build application around it
• Experience working in consulting or system integrator (SI) firms with exposure to client-facing delivery
• Good knowledge of AI/ML
• Comfortable leading technical teams and presenting to C-level and enterprise architects
• Some exposure to insurance domain projects (e.g., claims, underwriting, chatbot, summarization) is a plus