Lead Data Scientist

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. Location San Francisco CA Your Role Own the AI architecture for Capgemini's largest and most strategic client programs. As a Managing AI Architect / Principal AI Architect, you will be accountable for the architecture of complex, multi-workstream AI, generative AI and agentic AI programs, from the first pursuit conversation through to production. You will advise CIOs, CTOs, CDOs and business executives, govern the decisions made by architecture teams, and make sure that what we propose is what we can deliver: secure, scalable, cost-effective and tied to measurable business outcomes. • Own end-to-end AI architecture across multiple workstreams or programs, spanning foundation models, RAG and knowledge systems, agents and orchestration, data and integration platforms, cloud and hybrid infrastructure, and MLOps/LLMOps, so the overall solution is coherent, scalable and aligned with enterprise architecture principles. • Lead AI solution shaping for strategic pursuits, defining the architecture, delivery approach, effort, risks, differentiators and commercial assumptions required to create credible and competitive proposals. • Advise CIOs, CTOs, CDOs and business executives on AI architecture strategy, platform and vendor choices across Azure, AWS, GCP and the wider AI ecosystem, and the roadmap from early use cases to enterprise scale. • Act as design authority, governing the decisions made by other architects, setting the standards, reference architectures and guardrails for security, privacy, Responsible AI and regulatory compliance, and carrying accountability for architecture quality and delivery risk. • Lead architecture through delivery, covering detailed design, engineering mobilization, implementation assurance, production readiness, transition into operations and remediation of architecture deviations. • Take responsibility for business outcomes, linking architecture decisions to measurable client value and applying FinOps discipline to forecast, monitor and optimize model, compute and platform costs from proposal through to operations. • Develop Capgemini's AI architecture capability by mentoring and growing architects, creating reference architectures, and building market credibility through alliances and thought leadership. Required Skills and Expereince Essential • 10+ years in solution, enterprise, platform or cloud architecture • 3+ years designing AI/ML or GenAI solutions, including production deployments • Proven ownership of complex enterprise architecture • Client-facing consulting and executive stakeholder experience • Production experience with at least one hyperscaler AI ecosystem • Evidence of solution shaping and delivery governance • Strong grounding in security, data, integration and Responsible AI Desirable • Experience across more than one hyperscaler • Experience in regulated industries • TOGAF or hyperscaler architecture certifications • Experience creating reusable assets or reference architectures • Public thought leadership, patents, publications or conference participation • Knowledge of specific AI frameworks and data platforms The base compensation range for this role in the posted location is $ 109,180 to $197,175 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • 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 Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which s