Solutions Architect

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world Your Role In this role you will leverage your deep and tangible expertise in AI to architect, develop and deploy robust AI solutions that seamlessly integrate advanced analytics, machine learning, and generative AI frameworks. You will design and implement modular, reusable components that enable scalable deployment and rapid experimentation, ensuring that solutions are both innovative and aligned with business objectives. Your hands-on experience will empower you to optimize model performance, enhance data governance, and deliver insights that inform strategic decision-making for client As an AI Leader within Capgemini's AI & Analytics Global Practice, you will shape the future of enterprise AI adoption by architecting, developing and deploying composable, scalable solutions and driving innovation across sectors. You will own the end-to-end architecture of enterprise-grade AI programs, ensuring compliance, performance, and alignment with business objectives. Acting as a trusted advisor to senior executives, you will guide decision-making, champion ethical AI practices, and foster cultural shifts toward data-driven thinking. Through workshops, demos, and strategic engagements, you will position Capgemini as a thought leader in AI transformation. Core Responsibilities: Translate business requirements into AI solution architecture. Design, develop and deploy scalable, secure, and compliant AI systems using GenAI, ML, and agentic frameworks. Architect and Build Composable AI Solutions: Lead the development of modular, reusable AI components using standardized pipelines for scalable deployment across environments Serve as an advisor and mentor to developers Enable Rapid Experimentation and Scalable R&D: Drive innovation by creating production-ready frameworks that support both traditional generative and agentic AI use cases Governance and Compliance: Ensure traceability, bias monitoring, and audit readiness through integrated compliance tools and dashboards Skills and Experience Continuously monitor and benchmark AI performance, latency, and cost to guide strategic decisions Client Engagement & Advisory Serve as a senior advisor in client meetings, pitches, and workshops Own the development of high-impact demos and proof-of-concepts aligned with transformation goals Influence executive stakeholders on the vision of our internal AI assets: architecture, roadmaps, risk mitigation, and ethical considerations, to accelerate client adoption and deliver measurable business impact. Work closely with Product Owners, Data Scientists, Developers, and Business Executives to align technical execution with business goals and define solution blueprints. Tangible work experience with GenAI and Agentic AI (focused on delivery) Hands-on experience with Cloud and ML Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Machine Learning or related field Consulting experience across a variety of industries and functions Excellent verbal and written communication skills, as well as the willingness to collaborate across teams of internal and external staff Executive leadership experience with demonstrated command skills Must be open to travel, and hybrid work #J-18808-Ljbffr Capgemini