10 days ago
Base Salary
$91k - $121k/yr
Responsibilities
- Lead the architecture, design, and implementation of enterprise-scale agentic AI solutions using Snowflake Cortex.
- Evaluate existing AI agents and autonomous workflows, identify performance gaps, and recommend improvements for scalability, reliability, and business value.
- Design and implement multi-agent architectures, orchestration frameworks, and intelligent automation workflows.
- Architect AI applications using Cortex Search, Cortex Analyst, Cortex LLM Functions, Document AI, vector embeddings, semantic search, and RAG.
- Establish practices for prompt engineering, agent memory, tool usage, context management, reasoning, and AI governance.
- Lead technical decisions involving LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar agentic AI frameworks.
- Design semantic layers and vector-based retrieval solutions for enterprise AI applications.
- Mentor engineering teams on AI agent design patterns, evaluation methodologies, and deployment strategies.
- Define AI agent monitoring, performance metrics, evaluation frameworks, and governance standards.
Requirements
- At least 8 years of experience in data engineering, AI/ML, data architecture, or enterprise technology solutions.
- At least 5 years of hands-on experience building and deploying generative AI and agentic AI solutions.
- Strong practical experience with Snowflake Cortex, including Cortex Search, Cortex Analyst, vector embeddings, semantic search, and RAG architectures.
- Proven experience designing and implementing AI agents and agentic AI frameworks in enterprise environments.
- Deep understanding of autonomous agents, agent orchestration, and prompt engineering.
- Experience building conversational AI, AI copilots, intelligent assistants, and workflow automation solutions.
- Strong understanding of vector databases, embeddings, semantic search, and knowledge retrieval architectures.
- Hands-on experience with Python, SQL, Snowpark, and API integrations.
- Preferred experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar frameworks.
- Preferred experience with SnowPro certifications, Azure OpenAI, OpenAI, Anthropic Claude, Gemini, AWS, Azure, GCP, MLOps, LLMOps, AI observability, governance frameworks, and enterprise AI transformation initiatives.
- Preferred knowledge of dbt, Airflow, Kafka, Spark, Fivetran, or Matillion.
Benefits
- Comprehensive benefits package for regular full-time employees, including paid time off, vacation, company 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 United States or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- Arlington, VA location with onsite/hybrid work from day one.
Tech Stack
Categories
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com