Agentic AI Architect / Lead - Snowflake Cortex

About the role

We are seeking a highly experienced Agentic AI Architect / Lead with deep hands-on expertise in Snowflake Cortex, AI Agents, Generative AI, RAG architectures, and enterprise AI solutions.

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-powered applications leveraging Snowflake Cortex capabilities, including:Cortex SearchCortex AnalystCortex LLM FunctionsDocument AIVector EmbeddingsSemantic SearchRAG (Retrieval-Augmented Generation)
• Establish best practices for prompt engineering, agent memory, tool usage, context management, reasoning, and AI governance.
• Lead technical decision-making for Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar platforms.
• Design semantic layers and vector-based retrieval solutions to support enterprise AI applications.
• Mentor and guide engineering teams on AI agent design patterns, evaluation methodologies, and deployment strategies.
• Define AI agent monitoring, performance metrics, evaluation frameworks, and governance standards.

Qualifications

• 8+ years of experience in Data Engineering, AI/ML, Data Architecture, or Enterprise Technology Solutions.
• 5+ years of hands-on experience building and deploying Generative AI and Agentic AI solutions.
• Strong practical experience with Snowflake Cortex including:Cortex SearchCortex AnalystVector EmbeddingsSemantic SearchRAG Architectures
• Proven experience designing and implementing AI Agents and Agentic AI frameworks in enterprise environments.
• Deep understanding of:Autonomous AgentsAgent OrchestrationPrompt 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 Qualifications

• Experience with LangGraph, CrewAI, AutoGen, Semantic Kernel, LangChain, or similar Agentic AI frameworks.
• Experience building AI copilots, autonomous business workflows, and enterprise AI platforms.
• SnowPro Certifications (Core, Advanced, or Architect).
• Experience with Azure OpenAI, OpenAI, Anthropic Claude, Gemini, or other LLM ecosystems.
• Experience with AWS, Azure, or GCP cloud platforms.
• Knowledge of MLOps, LLMOps, AI observability, and governance frameworks.
• Experience leading enterprise AI transformation initiatives.
• Understanding of modern data stack technologies such as dbt, Airflow, Kafka, Spark, Fivetran, or Matillion.

Pay

The base compensation range for this role in the posted location is: 90786- 120673 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibility