Lead AI Engineer - GECX Forward-Deployed (Hybrid)

Capgemini; Atlanta (GA); Hybrid; USD 109,000 - 197,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

Capgemini is seeking a Senior GECX AI Forward Deployed Engineer to lead software development across hybrid U.S. locations, including Atlanta. You will design production-grade AI applications, build agents using Gemini and Vertex AI, and integrate with enterprise APIs, CRM, and contact-center platforms.

Expect hands-on Python, API work, and robust security practices. Senior level role requiring 15+ years in software leadership; experience with multi-agent architectures, streaming APIs, and

Qualifications

• Senior candidate with 15+ years of relevant experience as Lead/Architect
• Strong hands-on Python/software engineering
• Good experience in Gemini / Generative AI application development, Vertex AI, Agentic AI architectures
• Solid exposure in REST APIs / JSON
• Experience in RAG / embeddings / enterprise grounding
• Good in GCP application deployment, IAM / security fundamentals, Enterprise integration
• Experience with Google ADK, CES / GECX, Contact-center / CCaaS integration, Multi-agent architectures, MCP, A2A, Agent evaluation and observability
• Experience in Streaming / real-time APIs, Production conversational AI, Telephony integrations

Responsibilities

• 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.

Skills

Python

Gemini / Generative AI

Vertex AI

REST APIs

GCP deployment

IAM / security

Tools

Google ADK

CES / GECX

CCaaS integration

Job description

Capgemini is seeking a Senior GECX AI Forward Deployed Engineer to lead software development across hybrid U.S. locations, including Atlanta. You will design production-grade AI applications, build agents using Gemini and Vertex AI, and integrate with enterprise APIs, CRM, and contact-center platforms.

Expect hands-on Python, API work, and robust security practices. Senior level role requiring 15+ years in software leadership; experience with multi-agent architectures, streaming APIs, and