Capgemini · 1 day ago
Generative AI Engineer
Seattle, WA
Full-time
Onsite
Entry Level
$0/yr - $75K/yr
1+ years expCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. They are seeking a passionate and innovative Generative AI Engineer/Data Scientist to develop GEN AI solutions and predictive AI models, deploying them in production environments, while driving the integration of AI technologies across business operations.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Application Architecture Design, Development, & Integration:
Familiarity with API architecture, and components such as external interfacing, traffic control, runtime execution of business logic, data access, authentication, deployment
Key skills to include Understanding of URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation
AI & Machine Learning Models Development:
Develop generative and predictive AI models (including NLP, computer vision, etc.)
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions
Familiarity with intelligent autonomous agents for complex tasks and multimodal interactions
Familiarity with agentic workflows that utilize AI agents to automate tasks and improve operational efficiency
Model Deployment & Maintenance:
Deploy AI models into production environments, ensuring scalability, performance, and optimization
Monitor and troubleshoot deployed models and pipelines for optimal performance
Design and maintain data pipelines for efficient data collection, processing, and storage (e.g., data lakes, data warehouses)
Emerging Technologies:
Maintain involvement with internal and external training and relevant discussions; stay at the forefront of emerging AI techniques, tools, and trends
Collaboration & Communication:
Collaborate with cross-functional teams to align AI projects with business requirements and strategic goals
Willingness to contribute to and participate in developing and harvesting resuable assets and demos, sales pitches
Communicate complex AI concepts and results to non-technical stakeholders
Qualification
Required
Bachelor's or greater degree in Machine Learning, AI, or equivalent professional experience
Minimum of 1 year of professional experience in AI, application development, machine learning, or a similar role
Experience in model deployment, MLOps, model monitoring, and managing data/model drift
Experience with predictive AI (e.g., regression, classification, clustering) and generative AI models (e.g., GPT, Claude LLM, Stable Diffusion)
Proficiency in programming languages such as Python and SQL
Proficiency in URLs and API Endpoints, HTTP Requests, Authentication Methods, Response Types, JSON/REST, Parameters and Data Filtering, Error Handling, Debugging, Rate Limits, Tokens, Integration, and Documentation
Proficiency with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Databricks, PySpark)
Familiarity with AI frameworks such as LangChain and machine learning libraries like TensorFlow, PyTorch, and scikit-learn
Knowledge of deployment tools (e.g., Azure DevOps, Docker, AWS ECS/EKS/Fargate) and CI/CD pipelines (AWS CloudFormation, CodeDeploy)
Understanding of data engineering principles, including experience with SQL and NoSQL databases (e.g., MySQL, MongoDB, Redis)
Strong problem-solving and troubleshooting skills
Familiarity with generative AI techniques, such as retrieval-augmented generation (RAG) patterns
Ability to collaborate effectively across teams
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
Preferred
Experience with Graph database technology a plus. (e.g. Neo4J, Ontotext)
Benefits
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
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas Strategic Business Unit
Recent News
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2026-01-22
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2026-01-20
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