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About the Role
Empower your career, collaborate with global colleagues, and reimagine possibilities with Capgemini. Help leading organizations leverage technology for a more sustainable and inclusive world.
Responsibilities
- 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.
- Lead AI solution shaping for strategic pursuits, defining the architecture, delivery approach, effort, risks, differentiators and commercial assumptions.
- Advise CIOs, CTOs, CDOs and business executives on AI architecture strategy, platform and vendor choices across Azure, AWS, GCP and the wider AI ecosystem.
- Act as design authority, governing decisions made by other architects, setting standards, reference architectures and guardrails for security, privacy, Responsible AI and regulatory compliance.
- 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 costs.
- Develop Capgemini's AI architecture capability by mentoring and growing architects, creating reference architectures, and building market credibility.
Requirements
- 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
- 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
Skills
- AI architecture
- Generative AI
- Agentic AI
- Foundation models
- RAG and knowledge systems
- Agents and orchestration
- Data and integration platforms
- Cloud and hybrid infrastructure
- MLOps/LLMOps
- Azure
- AWS
- GCP
- Security
- Data
- Integration
- Responsible AI
- FinOps
Location
- San Francisco, CA
Work Type
- Full-time
Experience Level
- 10+ years in solution, enterprise, platform or cloud architecture
- 3+ years designing AI/ML or GenAI solutions
Salary/Compensations
- $109,180 to $197,175
Benefits
- Paid time off based on employee grade (A-F): Vacation: 12-25 days
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
About the Company
- Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society.
- It is a responsible and diverse group of 340,000 team members in more than 50 countries.
- With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs.
- It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Equal Opportunity
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
- All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.