Senior GECX AI Forward Deployed Engineer - Lead Software Engineer

Capgemini • Chicago, IL

20h • Hybrid

About The Position

Capgemini is hiring an experienced software engineering professional to design, build, integrate, deploy, and support production-grade conversational and agentic AI applications. The role involves hands-on development with Python, APIs, and modern software engineering practices; building Gemini- and Vertex AI-based agents; and developing retrieval-augmented generation (RAG) and enterprise-grounding solutions. The engineer will integrate AI agents with enterprise systems, implement security and observability practices, deploy on GCP, and diagnose production issues across application and infrastructure components.

The position works directly with customer engineering teams to reproduce and resolve implementation issues, remove technical blockers, and evolve validated prototypes toward production readiness. It is a hybrid role based across Atlanta, Nashville, Chicago, Dallas, Houston, and New Jersey. Capgemini describes its work environment as collaborative and provides mentoring and coaching opportunities.

Requirements

• 15+ years of relevant experience as a Lead or Architect.
• Strong hands-on Python and software engineering skills.
• 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.
• Agent evaluation and observability.
• 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 and 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 needed 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 advance 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 vacation of 12–25 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