Agentic AI Architect

Capgemini; Atlanta (GA); Sur place; USD 125 000 - 140 000; Plein temps

Avantages offerts par ce poste

Paid time off

Medical, dental, vision coverage

401(k) / RRSP matching

Life and disability insurance

Résumé du poste

Capgemini in Atlanta seeks an experienced Agentic AI Architect to lead enterprise-scale AI solutions. You will define architecture, guide teams, and ensure secure, scalable systems using LLMs, multi-agent frameworks and enterprise integrations.

The role requires 10+ years in software engineering or solution architecture, deep Python expertise, and hands-on work with LangChain, FAISS, Pinecone, and cloud platforms.

Qualifications

• 10+ years of software engineering, AI/ML, or solution architecture.
• Strong Python and backend architecture knowledge.
• Hands-on with LLM ecosystems and agent frameworks.
• Experience designing multi-agent distributed architectures.
• Security, data governance, and authentication awareness.

Responsabilités

• Define end-to-end architecture for agentic AI solutions and integrations.
• Design scalable agent frameworks using LangChain, Semantic Kernel, AutoGen, CrewAI.
• Lead LLM-driven systems with robust prompting and governance.
• Architect RAG pipelines, memory systems and enterprise tool integration.
• Mentor teams and ensure performance, reliability, and cost optimization.

Connaissances

Python

LLM frameworks

Multi-agent systems

Architectural design

API design

Cloud platforms

Security & governance

MLOps / LLMOps

Leadership

Stakeholder collaboration

Outils

LangChain

Semantic Kernel

AutoGen

CrewAI

FAISS

Pinecone

Description du poste

# Agentic AI ArchitectAtlantaApply for this job* Permanent* Experienced Professionals* Architecture* ID 579000-en\\_USChoosing 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 Description - Grade SpecificWe are looking for 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 scalable, secure, and high-performing AI systems that leverage LLMs, multi-agent frameworks, and enterprise integrations. The ideal candidate combines deep technical expertise in AI/ML with strong architectural design skills and experience delivering complex, production-grade AI solutions. Key Responsibilities Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations Design and implement scalable agent frameworks using technologies such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc. Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompting strategies Architect RAG pipelines, memory systems, and tool integration layers Establish best practices for AI governance, security, and Responsible AI Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms) Provide technical leadership, mentorship, and code quality oversight to development teams Collaborate with business stakeholders to translate requirements into technical solutions Ensure performance, scalability, reliability, and cost optimization of AI systems Drive innovation by evaluating emerging AI technologies and frameworks Required Skills & Experience 10+ years of experience in software engineering, AI/ML, or solution architecture Strong expertise in Python and modern backend architectures Hands-on experience with LLM ecosystems and agent frameworks Proven experience designing multi-agent systems and distributed architectures Deep understanding of: - Prompt engineering and LLM optimization - Embeddings and vector databases (FAISS, Pinecone, Azure AI Search, etc.) - Retrieval-Augmented Generation (RAG) Experience with cloud platforms (Azure preferred, AWS/GCP acceptable) Strong knowledge of API design, microservices, and event-driven architecture Familiarity with security, authentication (OAuth, SSO), and data governance Experience leading technical teams and driving architecture decisions Good to Have Experience with Model Context Protocol (MCP) or similar integration standards Exposure to enterprise AI transformation programs Knowledge of MLOps / LLMOps frameworks Experience with frontend or conversational UI frameworks Certifications (Azure AI Engineer, Solutions Architect, etc.)'The base compensation range for this role in the posted location is: **$125000/yr- $140000/Yr**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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-lawCapgemini 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.