Snowflake Architect - Cortex & Agentic AI Lead

Capgemini; Arlington (VA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Paid time off

Parental leave

Job summary

Capgemini in Arlington, VA seeks an experienced Agentic AI Architect / Lead to design and scale Agentic AI platforms using Snowflake Cortex. You will lead a team of engineers and architects, delivering enterprise-grade GenAI solutions aligned with business goals.

The role requires 8+ years in data/AI, hands-on Snowflake Cortex expertise, and strong governance practices. You will drive RAG workflows, vector-based retrieval, and memory management while shaping AI strategy across the organization.

Qualifications

• 8+ years of experience in Data Engineering, AI/ML, or Enterprise Tech.
• 3+ years building Generative AI and Agentic AI solutions.
• Hands-on Snowflake Cortex and its components.

Responsibilities

• Lead architecture, design, and implementation of enterprise-scale Agentic AI solutions using Snowflake Cortex.
• Evaluate existing AI agents for performance, scalability, and value.
• Design multi-agent architectures, orchestration frameworks, and intelligent automation workflows.
• Architect AI-powered applications leveraging Cortex features: Cortex Search, Cortex Analyst, LLM Functions, Document AI, Vector Embeddings, Semantic Search, and RAG.
• Establish best practices for prompt engineering, agent memory, tool usage, context management, reasoning, and governance.
• Mentor engineers on AI agent design patterns, evaluation methodologies, and deployment strategies.
• Collaborate with stakeholders to align AI solutions with business objectives.

Skills

AI/ML architecture

Snowflake Cortex

Vector embeddings

Semantic search

RAG architectures

Python

SQL

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

LangChain

Job description

Position Title : Agentic AI Architect / Lead - Snowflake Cortex

Location : Arlington, VA (Onsite/Hybrid from Day 1)

Experience : 8+ Years

Employee Type : Full Time with Benefits

Job Description

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. This role will be responsible for designing, evaluating, optimizing, and scaling Agentic AI platforms while providing technical leadership to a team of engineers, architects, and AI practitioners.

The ideal candidate will have proven experience building AI agents using Snowflake Cortex capabilities, implementing enterprise-grade GenAI solutions, and driving AI adoption through best practices, governance, and architecture standards. The candidate should be capable of quickly assessing existing AI agents, identifying improvement opportunities, and delivering scalable Agentic AI frameworks aligned with business objectives.

Key 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 Search
  • Cortex Analyst
  • Cortex LLM Functions
  • Document AI
  • Vector Embeddings
  • Semantic Search
  • RAG (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.
• Develop AI-ready data architectures and knowledge retrieval systems on Snowflake.
• 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.
• Collaborate with stakeholders, data teams, product owners, and business leaders to align AI solutions with strategic objectives.
• Define AI agent monitoring, performance metrics, evaluation frameworks, and governance standards.
• Ensure scalable, secure, and compliant AI implementations with appropriate data governance and security controls.
• Drive innovation by identifying emerging AI trends and recommending adoption strategies.

Required Qualifications

• 8+ years of experience in Data Engineering, AI/ML, Data Architecture, or Enterprise Technology Solutions.
• 3+ 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
  • LLM Functions
  • Document AI
  • Vector Embeddings
  • Semantic Search
• Proven experience designing and implementing AI Agents and Agentic AI frameworks in enterprise environments.
• Deep understanding of:
  • Autonomous Agents
  • Multi-Agent Systems
  • Agent Orchestration
  • Tool Calling
  • Function Calling
  • Prompt Engineering
  • Context Management
  • Memory Frameworks
  • Knowledge Retrieval Systems
• 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.
• Experience designing and implementing RAG-based enterprise solutions.
• Strong stakeholder management, leadership, and communication skills.

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.

Life At Capgemini

• Healthcare inclusive dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.