AI Software Engineer - FDE
About The Position
Capgemini is seeking a Lead Forward Deployed AI Engineer to design and deploy 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, retrieval-augmented generation (RAG), and cloud-native services. The position is hybrid and based in Nashville, Tennessee. The role translates business requirements into production-ready AI architectures and collaborates directly with client teams to deliver scalable, secure, business-focused solutions. It participates in Agile delivery, client meetings, and technical design discussions.
Requirements
- At least 4 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 a related field.
Nice To Haves
- Master's degree or PhD.
Responsibilities
- 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.
Benefits
- Paid vacation of 12–25 days depending on employee grade.
- Company-paid holidays.
- Personal days.
- Sick leave.
- Medical coverage.
- Dental coverage.
- Vision coverage.
- Retirement savings plans, such as a 401(k) in the U.S.
- Life insurance.
- Disability insurance.
- Employee assistance programs.
- May be eligible for variable incentives, bonuses, or commissions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
