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# Lead Software Engineer - Senior GECX AI Engineer

- **Company:** Capgemini
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $109,180.0 - $197,175.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Databases, Software Debugging, Identity and Access Management, JSON, Python (Programming Language), Key Management, Regression Testing, Software Deployment, Software Engineering, Data Streaming, Unstructured Data, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, Build Management, Enterprise Integration, Invoking Functions, Google Gemini, Restful APIs, Agent2Agent Protocol
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.com/job/us0e969c62567c25552ae7fea5966e33c8/eaa

## About the Role

* 10+ years of experience with software development with strong hands-on Python/software engineering
 * Gemini / Generative AI application development
 * Vertex AI, Agentic AI architectures
 * REST APIs / JSON
 * RAG / embeddings / enterprise grounding, GCP application deployment
 * IAM / security fundamentals
 * Enterprise integration
 * Google ADK
 * CES / GECX experience, Contact-center / CCaaS integration
 * Multi-agent architectures
 * MCP / A2A
 * Agent evaluation and observability
 * Streaming / real-time APIs
 * Production conversational AI

## Description

This is a hybrid role based across multiple locations - Atlanta, Nashville, Chicago, Dallas, New Jersey, New york, Houston
About the job you're considering
The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development.
Your role

 * Design and build production-grade conversational and Agentic 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/function 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, contact-center platforms and backend systems.
 * Develop full-stack components required to complete the customer solution.
 * Implement secure authentication, IAM, secrets management and service-to-service communication.
 * Deploy applications using appropriate GCP services
 * Implement agent evaluation, tracing, observability, guardrails and regression testing.
 * Diagnose production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure and distributed services.
 * Rapidly prototype technical solutions and evolve validated prototypes toward production readiness.
 * Work directly with customer engineering teams to reproduce issues, debug implementations and resolve technical blockers.