Senior AI Engineer – Agentic AI on GCP (Hybrid)

Capgemini; Nashville (TN); Hybrid; USD 89,000 - 166,000; Full time

Benefits offered by this job

PTO

Medical/dental/vision insurance

401(k) retirement plan

Life and disability insurance

Job summary

Capgemini is seeking a hands-on Senior AI Engineer to design, build, deploy, and troubleshoot production-grade Agentic AI solutions on Google Cloud. The role emphasizes Python development, API integration, and rapid turning of requirements into working capabilities across CES/GECX workflows.

The position is hybrid in the Nashville area, with opportunities to work across Gemini, Vertex AI, and enterprise-grade AI architectures. Strong emphasis on security, IAM, and real-time integrations.

Qualifications

• Experience designing and deploying AI-powered customer experiences.
• Hands-on Python and modern software engineering practices.
• Experience with Gemini, Vertex AI, Google ADK and CES/GECX integrations.

Responsibilities

• Design and build production-grade conversational AI applications.
• Develop hands-on using Python, APIs, JSON and modern software engineering practices.
• Build and troubleshoot CES/GECX integrations and modernization scenarios.
• Build agents using Gemini, Vertex AI, Google ADK and applicable agent frameworks.
• Implement tool calling, workflows, state/context management and agent orchestration.
• Develop RAG and enterprise grounding solutions over structured and unstructured data.
• Integrate agents with enterprise APIs, databases, CRM and back-end systems.
• Develop full-stack components required to complete the customer solution.

Skills

Python

Gemini/Generative AI

Vertex AI

Agentic AI architectures

REST APIs/JSON

RAG/embeddings

GCP deployment

IAM/security fundamentals

Enterprise integration

Google ADK

CES/GECX

Multi-agent architectures

Agent evaluation/observability

Job description

Capgemini is seeking a hands-on Senior AI Engineer to design, build, deploy, and troubleshoot production-grade Agentic AI solutions on Google Cloud. The role emphasizes Python development, API integration, and rapid turning of requirements into working capabilities across CES/GECX workflows.

The position is hybrid in the Nashville area, with opportunities to work across Gemini, Vertex AI, and enterprise-grade AI architectures. Strong emphasis on security, IAM, and real-time integrations.