Enterprise AI Software Engineer - Conversational AI on GCP

Capgemini; Nashville (TN); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Paid Time Off

Vacation

Company‑Paid Holidays

Personal Days

Sick Leave

Medical Insurance

Dental Insurance

Vision Insurance

Retirement Savings Plan

Life Insurance

Disability Insurance

Employee Assistance Program

Job summary

Capgemini is designing and deploying enterprise-scale agentic and conversational AI solutions on Google Cloud. You will work with client teams to translate requirements and AI prototypes into secure, scalable production systems, while managing infrastructure and optimizing performance and observability.

The role requires hands-on expertise in agentic AI, multi-agent systems, RAG, and cloud security, with a focus on Agile delivery and enterprise integrations.

Qualifications

• At least four years of experience in software engineering, AI/ML, cloud engineering, or data engineering.
• Strong GCP, Vertex AI, and Python experience.
• Bachelor's degree required; master's or PhD preferred.

Skills

Google Cloud Platform

Vertex AI

Vertex AI Agent Builder

Agent Development Kit

Python

Agentic AI

Multi-Agent Systems

Conversational AI

Retrieval-Augmented Generation

Vector Databases

Terraform

Cloud InfrastructureCloud Security

AI Evaluation and Observability

Enterprise API Integration

Agile/Scrum

Education

Bachelor's degree

Master's degree or PhD (preferred)

Tools

Terraform

Job description

Capgemini is designing and deploying enterprise-scale agentic and conversational AI solutions on Google Cloud. You will work with client teams to translate requirements and AI prototypes into secure, scalable production systems, while managing infrastructure and optimizing performance and observability.

The role requires hands-on expertise in agentic AI, multi-agent systems, RAG, and cloud security, with a focus on Agile delivery and enterprise integrations.