Agentic AI Architect

Capgemini; Arlington (VA); On-site; USD 91,000 - 121,000; Full time

Job summary

Capgemini in Arlington, VA seeks an experienced Agentic AI Architect/Lead to design and scale enterprise AI platforms using Snowflake Cortex. You will provide technical leadership to a team of engineers, architects, and AI practitioners, shaping governance and architecture standards for GenAI initiatives.

The role emphasizes hands-on Cortex capabilities, multi-agent architectures, prompt engineering, and integration with the modern data stack to deliver scalable AI solutions aligned with

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 Search, Cortex Analyst, Vector Embeddings, Semantic Search.
• Proven experience designing and implementing AI Agents and Agentic AI frameworks in enterprise environments.

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, Vector Embeddings, Semantic Search, and RAG.
• 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.

Skills

Data Engineering

AI/ML

Data Architecture

Enterprise Technology

Generative AI

Agentic AI

Snowflake Cortex

Python

SQL

Vector Embeddings

Semantic Search

AI Governance

Tools

LangGraph

CrewAI

AutoGen

Semantic Kernel

LangChain

Job description

Job Title: Agentic AI Architect / Lead - Snowflake Cortex

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

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

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.
• 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.

Required 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 Search
  • Cortex Analyst
  • Vector Embeddings
  • Semantic Search
• Proven experience designing and implementing AI Agents and Agentic AI frameworks in enterprise environments.
• Deep understanding of:
  • Autonomous Agents
  • Agent Orchestration
  • 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 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.

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