Nashville, TN Agentic AI Engineer GCP TN 37201

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 This role in remote or based in Nashville, TN. Role summary We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy intelligent AI agents using the Google Cloud Platform (GCP) AI ecosystem. The ideal candidate will leverage Vertex AI, Gemini models, Agent Builder, Vector Search, BigQuery, and Google Cloud services to create autonomous, goal-driven AI solutions that automate business processes, enhance customer experiences, and improve operational efficiency.The role requires expertise in Generative AI, Agentic AI architectures, Retrieval-Augmented Generation (RAG), orchestration frameworks, and enterprise-scale AI deployment. This role also requires experience with Automation testing. Your role Lead the design, development, and deployment of enterprise-grade Generative AI and Agentic AI solutions on Google Cloud Platform (GCP) using Vertex AI. Architect and implement scalable Retrieval-Augmented Generation (RAG) solutions, including data ingestion, embeddings, vector search, and retrieval pipelines. Develop and optimize grounding and embedding strategies to improve AI response accuracy, relevance, and factual consistency. Build and manage Agentic AI and multi-agent systems capable of autonomous decision-making, orchestration, and task execution. Integrate Large Language Models (LLMs) with enterprise applications, APIs, and external tools using structured interaction frameworks such as Model Context Protocol (MCP). Design and deploy cloud-native AI applications leveraging Docker, Kubernetes, microservices, serverless technologies, and modern MLOps/CI-CD practices. Experience with Automation testing. Provide technical leadership through architecture reviews, proof-of-concepts (PoCs), solution design, troubleshooting, and delivery governance. Collaborate with cross-functional stakeholders and mentor engineering teams to drive AI innovation, best practices, and successful business outcomes. Your skills and experience Strong hands-on experience with Google Cloud Platform (GCP), particularly Vertex AI, for building and deploying enterprise-scale Generative AI solutions. Proven expertise in designing and implementing Retrieval-Augmented Generation (RAG) architectures, including document ingestion, retrieval pipelines, and contextual response generation. Deep understanding of embeddings, vector databases, semantic search, and grounding techniques to improve AI accuracy, relevance, and trustworthiness. Extensive experience developing Agentic AI and multi-agent systems using modern frameworks such as LangChain and related orchestration technologies. Advanced programming skills in Python, with experience in enterprise application development using Java, C#, or Node.js. Strong knowledge of SQL and NoSQL databases, including data modeling, optimization, and integration with AI-driven applications. Experiecne with Automation testing. Experience building cloud-native and containerized applications using Docker, Kubernetes, microservices, and serverless architectures. Solid background in DevOps, CI/CD, MLOps, and AI model lifecycle management, ensuring scalable, reliable, and production-ready deployments. Excellent technical leadership, stakeholder management, problem-solving, and communication skills, with a proven track record of leading teams and delivering successful AI transformation initiatives. The base compensation range for this role in the posted location is $101,140 - 182,624 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-law Capgemini is a global business and technology transformation partner, helping organizations to ac