10 days ago
Base Salary
$101k - $183k/yr
Responsibilities
- Design, develop, and deploy enterprise Generative AI and Agentic AI solutions on GCP using Vertex AI.
- Architect scalable RAG solutions involving data ingestion, embeddings, vector search, and retrieval pipelines.
- Develop grounding and embedding strategies to improve AI response accuracy, relevance, and factual consistency.
- Build and manage autonomous Agentic AI and multi-agent systems for decision-making, orchestration, and task execution.
- Integrate LLMs with enterprise applications, APIs, and external tools using frameworks such as MCP.
- Design and deploy cloud-native AI applications using Docker, Kubernetes, microservices, serverless technologies, and MLOps/CI-CD practices.
- Perform automation testing and support troubleshooting and production delivery.
- Provide technical leadership through architecture reviews, proof-of-concepts, solution design, and delivery governance.
- Collaborate with stakeholders and mentor engineering teams on AI innovation and best practices.
Requirements
- Strong hands-on GCP and Vertex AI experience building enterprise-scale Generative AI solutions.
- Proven experience designing and implementing RAG architectures, including document ingestion, retrieval pipelines, and contextual response generation.
- Deep knowledge of embeddings, vector databases, semantic search, and grounding techniques.
- Extensive experience developing Agentic AI and multi-agent systems with LangChain or related orchestration technologies.
- Advanced Python programming skills and enterprise application development experience with Java, C#, or Node.js.
- Strong knowledge of SQL and NoSQL databases, including data modeling, optimization, and integration with AI applications.
- Experience with automation testing.
- Experience building cloud-native and containerized applications using Docker, Kubernetes, microservices, and serverless architectures.
- Background in DevOps, CI/CD, MLOps, and AI model lifecycle management.
- Proven technical leadership, stakeholder management, problem-solving, communication, team leadership, and AI transformation delivery experience.
Benefits
- Remote work or location in Nashville, Tennessee.
- Comprehensive benefits package for regular, full-time employees, subject to local policy and eligibility.
- Paid vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
Tech Stack
Categories
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.