Data Scientist
About The Position
Capgemini is building a Seattle-based AI Cohort to support strategic enterprise engagements focused on Generative AI, intelligent applications, and advanced analytics. This role combines hands-on AI engineering with a delivery and consulting oriented mindset. You will work closely with business and technical stakeholders to shape, build, and scale AI solutions from early exploration through production delivery. Some engagements may follow a Forward Deployment Engineer (FDE)-style working model, where engineers collaborate closely with client teams during solution design and rollout. However, the role remains broad and well suited for candidates who enjoy combining strong technical problem solving with collaborative, client facing delivery. Many initiatives are centered on enterprise cloud and AI platforms, with a strong preference for Azure based architectures and services, as well as modern developer environments that incorporate AI assisted development and code generation tools.
Requirements
- Design, develop, and deploy AI enabled applications aligned to enterprise needs.
- Translate business problems into scalable technical solutions.
- Build Generative AI solutions using large language models, including RAG and tool enabled workflows.
- Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.
- Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.
- Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.
Responsibilities
- Design, develop, and deploy AI enabled applications aligned to enterprise needs.
- Translate business problems into scalable technical solutions.
- Build Generative AI solutions using large language models, including RAG and tool enabled workflows.
- Apply AI assisted code generation and developer productivity tools for tasks such as code scaffolding, refactoring, documentation, and test generation.
- Design and integrate application components using REST APIs, authentication, error handling, and observability best practices.
- Deploy and operate AI solutions in production or production adjacent environments, supporting monitoring and reliability.
Benefits
- Vacation: 12-25 days, depending on grade
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
