Capgemini Invent - Forward Deployed Engineer Senior Consultant

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 At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor (“forward deployed”) mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice. Your Role As an Forward Deployed Engineer Senior Consultant, you will own embedded technical workstreams and operate independently within complex client environments. You will deliver production‑grade solutions, act as a trusted technical counterpart to client teams, and ensure what is built is usable, documented, and adopted. You will: Own embed [... source excerpt omitted ...] technical workstreams from requirements through deployed output Build and maintain AI workflows, pipelines, and platform configurations used by client teams Partner closely with client engineers, data leads, and technical project managers Drive platform adoption through pairing, enablement, and documentation Mentor Consultant‑level team members on delivery quality and client engagement Your Skills + Experience You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiven [... source excerpt omitted ...] s such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments. Required Skills: 5–6 years in forward‑deployed, embedded, or client‑facing engineering roles Production‑level Python and SQL experience building and maintaining data pipelines Hands‑on experience configuring Palantir Foundry (ontologies, pipelines, applications) or equivalent enterprise platforms Ability to work independently in ambiguous client environments and self‑manage delivery Track record of delivering working software that client teams adopt and use The base compens