AI Architect

Capgemini Engineering is a global leader in engineering services, providing R&D and engineering services across all industries. Capgemini is a business transformation partner for enterprises in the age of AI, combining AI, technology, and human ingenuity with deep industry expertise and market-leading capabilities in AI, cloud, and data. The organization has over 410,000 team members in more than 50 countries.

• 10+ years of experience in solution architecture with 3 to 5 years focused on AI/ML solutions including Generative AI architecture, RAG pipelines, agentic frameworks, and LLM orchestration
• Proven ability to design scalable, reusable AI architecture patterns with chunking strategies, hybrid retrieval methods, and re-ranking techniques
• T-shaped technical expertise with depth in AI solution architecture and breadth across data architecture, integration patterns, and infrastructure, including experience with enterprise platforms such as Databricks, SharePoint, and ERP systems
• Strong knowledge of observability and evaluation frameworks for AI systems in production
• Demonstrated experience in a strategic advisory role across multiple delivery partners, with executive communication skills and experience coaching junior and mid-level architects

• Embedding with the client AI team to understand priority use cases, existing architecture, and technical approaches across multiple delivery partners
• Defining and enforcing standard AI architecture patterns, including model selection strategies, RAG pipeline design, chunking approaches, LLM orchestration frameworks, and multi-agent coordination
• Identifying and eliminating duplicated components to consolidate shared reusable services
• Designing and implementing observability, evaluation, and monitoring frameworks for AI systems covering latency, accuracy, hallucination tracking, and cost management
• Participating in PI Planning sessions and executive reviews, providing technical visibility and strategic recommendations, and upskilling delivery partner teams