Senior AI Engineer — Vertex AI & Multi-Agent Systems

Capgemini; Nashville (TN); Hybrid; USD 63,000 - 118,000; Full time

Job summary

Capgemini is seeking a Lead Forward Deployed AI Engineer in Nashville to design, deploy, and optimize Agentic and Conversational AI solutions on Google Cloud Vertex AI. You will build multi-agent workflows, integrate with enterprise systems, and drive production-ready AI architectures.

Ideal candidates have 4+ years in software/AI, strong Python, and hands-on experience with Vertex AI, ADK, and RAG. This role requires collaboration with client teams in a hybrid work environment.

Qualifications

• 4+ years in Software Engineering, AI/ML, Cloud or Data Engineering.
• Experience with GCP Vertex AI and enterprise AI deployments.
• Strong Python development for enterprise applications.

Responsibilities

• Design and deploy Agentic AI and Conversational AI solutions on Vertex AI.
• Develop multi-agent workflows and integrate with APIs and data platforms.
• Build and optimize RAG solutions using vector databases.
• Implement secure integrations using cloud-native services and Terraform.
• Develop evaluation, monitoring, and observability frameworks for AI systems.
• Collaborate with client teams to deliver scalable AI solutions in Agile projects.

Skills

GCP

Vertex AI

Python

Agentic AI

Multi-agent systems

Conversational AI

RAG

Vector databases

Embeddings

Terraform

Cloud security

Agile/Scrum

AI system optimization

Education

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Tools

Vertex AI Agent Builder

ADK

BigQuery

AlloyDB

Job description

Capgemini is seeking a Lead Forward Deployed AI Engineer in Nashville to design, deploy, and optimize Agentic and Conversational AI solutions on Google Cloud Vertex AI. You will build multi-agent workflows, integrate with enterprise systems, and drive production-ready AI architectures.

Ideal candidates have 4+ years in software/AI, strong Python, and hands-on experience with Vertex AI, ADK, and RAG. This role requires collaboration with client teams in a hybrid work environment.