Principal Solution Architect (Agentic AI, GenAI, Custom Development)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The Group reported 2024 global revenues of €22.1 billion. Capgemini delivers end-to-end services and solutions leveraging deep industry expertise and a strong partner ecosystem across strategy, technology, design, engineering, and business operations.

• 10+ years of experience in software engineering and architecture, including several years in client-facing solutioning, pre-sales, or principal architect roles.
• Proven track record of winning and delivering complex, high-value engagements, shaping solutions, leading proposal defence, and influencing client decisions.
• Strong, hands-on experience in AI / GenAI, including practical use of LLMs, RAG patterns, and agentic workflows in production or near-production environments.
• Solid architectural background in enterprise software systems with ability to design distributed, scalable solutions and integrate AI components.
• Experience in cloud-native and hybrid architectures across Azure, AWS, or GCP, including containers, Kubernetes, CI/CD, security, and cost management, ideally with AI/ML workloads exposure.
• Real experience in bids and commercial shaping, including defining scope, estimating effort, identifying risks, and contributing to pricing and commercial assumptions.
• Ability to work at the intersection of business and technology, structuring vague problems, pushing back when needed, and translating business needs into architecture decisions.
• Strong stakeholder management skills, engaging senior business stakeholders and engineering teams, translating between both.
• Fluent English (C1+) with ability to work in client-facing and proposal contexts.

• Lead solutioning and win strategic AI and custom development engagements by driving the technical narrative, defining approach and architecture, and actively participating in proposal defence with clients.
• Shape commercially viable solutions by defining scope, architecture, delivery approach, effort estimates, risks, and pricing assumptions in collaboration with sales and delivery teams.
• Design end-to-end enterprise architectures combining LLMs, agentic patterns, and RAG, including integration with existing systems, data flows, security, scalability, observability, and cost optimization.
• Ensure enterprise-grade AI governance by defining guardrails, supporting model evaluation approach, and addressing compliance, security, and operational risks early in the solution design.
• Build and evolve GenAI offerings and reusable assets by contributing to reference architectures, reusable components (e.g., RAG patterns, accelerators), and helping standardize delivery approaches.
• Lead client-facing activities such as running workshops, supporting discovery phases, structuring requirements, and translating business problems into architecture proposals and roadmaps.
• Contribute to broader custom development initiatives by supporting solutioning for modernization, cloud-native builds, and integrations, identifying where AI brings tangible value.
• Act as a trusted technical advisor by supporting clients across pre-sales and early delivery phases, and mentoring architects and senior engineers through reviews, feedback, and hands-on guidance.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. They evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.