Senior GECX AI Forward Deployed Engineer - Lead Software Engineer

Capgemini • Atlanta, GA

1d • $117,930 - $223,591 • Hybrid

About The Position

Capgemini is hiring an experienced software development professional to design and build production-grade conversational and Agentic AI applications. The role involves hands-on development with Python, APIs, JSON, Gemini, Vertex AI, Google ADK, and relevant agent frameworks, as well as building and troubleshooting CES/GECX integrations and modernization scenarios. The engineer will implement agent tools and workflows, state and context management, orchestration, retrieval-augmented generation (RAG), enterprise grounding, security, deployment, evaluation, observability, guardrails, and regression testing. The position also develops full-stack components, integrates agents with enterprise systems, and diagnoses production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure, and distributed services. The role works directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers, while rapidly prototyping solutions and advancing validated prototypes toward production readiness.

This is a hybrid role based across Atlanta, Nashville, Chicago, Dallas, Houston, and New Jersey. The listed base compensation range is $117,930–$223,591. Additional compensation such as variable incentives, bonuses, or commissions may apply depending on the position and applicable laws. Capgemini offers a benefits package to regular full-time employees; available benefits depend on local policy and eligibility.

Requirements

• 15+ years of relevant experience as a senior candidate, Lead, or Architect.
• Strong hands-on Python and software engineering experience.
• Good experience in Gemini/Generative AI application development, Vertex AI, and Agentic AI architectures.
• Solid exposure to REST APIs and JSON.
• Experience with RAG, embeddings, and enterprise grounding.
• Experience with GCP application deployment, IAM/security fundamentals, and enterprise integration.

Nice To Haves

• Experience with Google ADK.
• CES/GECX experience.
• Contact-center/CCaaS integration experience.
• Multi-agent architectures.
• MCP and A2A experience.
• Agent evaluation and observability experience.
• Streaming/real-time APIs.
• Production conversational AI.
• Telephony integrations.

Responsibilities

• Design and build production-grade conversational and Agentic AI applications.
• Develop software 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 and 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 customer solutions.
• 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.

Benefits

• Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans, such as 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed