Job description

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 • RAG Architectures • 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 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. 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 Leave • Medical, 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 insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. capgemini.com Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Requirements

Must-haves

Job Location : Arlington, VA (Onsite/Hybrid from Day 1)
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
Vector Embeddings
Semantic Search
RAG (Retrieval-Augmented Generation)
Establish best practices for prompt engineering, agent memory, tool usage, context management, reasoning, and AI governance.

Nice-to-haves

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
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.
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.

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Benefits

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Dental

Vision

401(K)

Paid Time Off