Agentic AI Architect

Capgemini; Atlanta (GA); On-site; USD 180,000 - 240,000; Full time

Job summary

Capgemini in the United States is seeking an Agentic AI Architect to lead design and implementation of enterprise-scale AI solutions. You will define architecture, guide teams, and ensure secure, scalable systems leveraging LLMs and multi-agent frameworks.

The role emphasizes governance, risk management, and integration across CRM/ERP platforms, data platforms, and third-party services, with a focus on performance, reliability, and cost optimization.

Qualifications

• Extensive experience designing enterprise AI architectures.
• Proven track record delivering production-grade AI systems.
• Strong governance, security, and data privacy knowledge.

Responsibilities

• Define end-to-end AI architecture for enterprise solutions.
• Lead multi-agent orchestration and integrations.
• Guide development teams and ensure secure, scalable systems.
• Establish governance and responsible AI practices.

Skills

AI architecture

Leadership

Enterprise design

LLM integration

Mentorship

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Azure OpenAI

OpenAI

Anthropic

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.Location:Location: Charlotte, NC / NY/ Atlanta, GA/Chicago, ILRole Overview:We are seeking a highly experienced Agentic AI Architect to lead the design and implementation of enterprise-scale Agentic AI solutions. This role will be responsible for defining architecture, guiding development teams, and ensuring secure, scalable, and high-performing AI systems that leverage Large Language Models (LLMs), multi-agent frameworks, and enterprise integrations.The ideal candidate combines deep expertise in AI/ML, software architecture, and enterprise solution design, with a proven track record of delivering complex, production-grade AI systems.Job Description:AI Solution ArchitectureDefine end-to-end architecture for enterprise Agentic AI solutions.Design multi-agent systems, orchestration layers, and enterprise integrations.Establish architectural standards, design patterns, and best practices.Agent Framework DevelopmentDesign and implement scalable agent frameworks using technologies such as:LangChainSemantic KernelAutoGenCrewAIOther emerging agent orchestration frameworksBuild robust and maintainable AI architectures capable of enterprise-scale deployment.LLM & AI EngineeringLead the development of LLM-driven solutions using:Azure OpenAIOpenAIAnthropicSimilar foundation model platformsDevelop effective prompting strategies and optimize model interactions.Design solutions that maximize accuracy, performance, and reliability.RAG & Knowledge SystemsArchitect and implement:Retrieval-Augmented Generation (RAG) pipelinesKnowledge retrieval architecturesMemory management systemsTool integration frameworksEnable AI agents to effectively access and utilize enterprise knowledge.Governance, Security & Responsible AIEstablish AI governance frameworks and standards.Implement Responsible AI principles and controls.Ensure compliance with security, privacy, and data governance requirements.Define risk management practices for enterprise AI solutions.Enterprise IntegrationDesign integration strategies with enterprise applications and platforms, including:CRM systemsERP platformsAPIsData platformsThird-party servicesDevelop scalable and secure enterprise integration patterns.Technical LeadershipProvide technical leadership and mentorship to engineering teams.Guide architecture decisions and implementation approaches.Review code quality, scalability, and overall solution design.Drive engineering excellence and innovation across teams.Stakeholder CollaborationPartner with business and technology stakeholders to translate business requirements into technical solutions.Communicate architectural strategies and implementation roadmaps to executive leadership.Performance & InnovationEnsure AI systems meet targets for:PerformanceScalabilityReliabilityCost optimizationContinuously evaluate emerging AI technologies, tools, and frameworks to drive innovation.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 2024 global revenues of €22.1 billion.Make it real | www.capgemini.com