Managing Solution Architect
About The Position
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. 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 clients. 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.
Requirements
- 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
Responsibilities
- Translate business requirements into AI solution architecture.
- Design, develop and deploy scalable, secure, and compliant AI systems using GenAI, ML, and agentic frameworks.
- Lead the development of modular, reusable AI components using standardized pipelines for scalable deployment across environments
- Serve as an advisor and mentor to developers
- Drive innovation by creating production-ready frameworks that support both traditional generative and agentic AI use cases
- Ensure traceability, bias monitoring, and audit readiness through integrated compliance tools and dashboards
- Continuously monitor and benchmark AI performance, latency, and cost to guide strategic decisions
- 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.
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
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What This Job Offers
Job Type
Full-time
Career Level
Senior
