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Capgemini

Seattle, WA Capgemini Invent Digital Engineering Consultant WA 98101

Capgemini · Seattle

Full-timeOn-sitePosted 26 September 2026
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Job description

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. About the Job You're Considering As AI reshapes how organizations operate, compete, and create value, we are evolving our consulting model to be AI-enabled by design, augmenting human judgment with analytics, automation, and generative AI. Our teams are looking for consultants who are not only strong problem solvers, but who are excited to work differently in an AI-first world: curious, adaptable, and ready to help clients reimagine how work gets done. Capgemini's Digital Continuity team partners with clients to transform Engineering and R&D capabilities across the value chain, spanning sales and marketing, R&D, engineering, manufacturing, operations, and aftersales. We help organizations improve competitiveness, strengthen engineering performance, accelerate innovation, and enable data-driven decision making through Digital Engineering transformation. Your Role As a Consultant, Digital Engineering , you will support clients in defining and executing Digital Engineering transformation initiatives that improve engineering effectiveness, product development, and operational performance. Working closely with client stakeholders and cross-functional Capgemini teams, you will analyze business and engineering challenges, develop strategic recommendations, and support implementation of innovative solutions across the engineering value chain. You will contribute to engagements involving engineering transformation, systems engineering, product lifecycle management, model-based engineering, and digital continuity initiatives, while leveraging AI-enabled ways of working to enhance analysis, research, solution development, and client outcomes. Key Responsibilities Include

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