Location This is hybrid role based in Atlanta, GA and Nashville, TN. About the Job You're Considering Capgemini is seeking a Lead Forward Deployed AI Engineer to drive the design and deployment of enterprise-scale Agentic AI and Conversational AI solutions on Google Cloud Platform. This customer-facing role partners with business and technology teams to transform AI prototypes into production-ready systems using Vertex AI, multi-agent architectures, RAG, and cloud-native services. Your Role • Design and deploy Agentic AI and Conversational AI solutions using Vertex AI Agent Builder and ADK. • Develop multi-agent workflows and integrate them with enterprise applications, APIs, and data platforms. • Build and optimize RAG solutions leveraging BigQuery, AlloyDB, and vector search technologies. • Implement secure integrations using MCP and cloud-native GCP services. • Develop evaluation, monitoring, and observability frameworks for AI systems. • Deploy and manage AI infrastructure using Terraform and modern DevOps practices. • Optimize agent performance, reasoning, tool selection, latency, and user experience. • Collaborate directly with client teams to deliver scalable, secure, and business-focused AI solutions. • Translate business requirements into production-ready AI architectures. • Participate in Agile delivery, client meetings, and technical design discussions. Your Skills and Experience • 7+ years of experience in Software Engineering, AI/ML, Cloud Engineering, or Data Engineering. • Strong experience with GCP, Vertex AI, Vertex AI Agent Builder, ADK, and Model Garden. • Advanced Python development skills and experience building enterprise applications. • Hands-on experience with Agentic AI, multi-agent systems, Conversational AI, and CX solutions. • Experience implementing RAG, vector databases, embeddings, and enterprise knowledge integrations. • Experience with Terraform, cloud infrastructure, networking, and security. • Knowledge of evaluation frameworks, observability, debugging, and AI system optimization. • Experience integrating AI solutions with enterprise systems and APIs. • Experience working in Agile/Scrum environments. • Strong communication, stakeholder management, and problem-solving skills. • Bachelor's degree in Computer Science, Engineering, or related field. • Master's degree or PhD preferred. #LI-SD1 The base compensation range for this role in the posted location is $8,2082 to $193,440 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