GECX AI Forward Deployed Engineer - Senior Software Engineer

Capgemini • Chicago, IL

19h • Hybrid

About The Position

Capgemini is seeking an experienced software engineering professional to design, build, integrate, deploy, and troubleshoot production-grade conversational and Agentic AI applications. The role involves hands-on development with Python, APIs, JSON, Google Gemini, Vertex AI, Google ADK, and applicable agent frameworks, as well as building CES/GECX integrations and modernization scenarios. The engineer will develop RAG and enterprise-grounding solutions, connect agents to enterprise systems, and implement secure, observable, production-ready applications on GCP. The position also works directly with customer engineering teams to prototype solutions, debug implementations, resolve technical blockers, and diagnose production issues.

This is a hybrid role based across Atlanta, Dallas, Nashville, Houston, New Jersey, and Chicago. Capgemini offers career opportunities, mentoring, and coaching. The posted base compensation range is $89,400–$166,398, with potential eligibility for additional variable incentives, bonuses, or commissions depending on the position and applicable laws. Regular full-time employees may be eligible for benefits according to local policy and eligibility, including paid time off, holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

Requirements

• 10 or more years of relevant experience.
• 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 in RAG, embeddings, or 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/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 solutions 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 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 involving 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, with vacation of 12–25 days depending on employee grade, plus 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 a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Potential additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

What This Job Offers

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