GECX AI Forward Deployed Engineer - Senior Software Engineer

Capgemini • Chicago, IL

1d • Hybrid

About The Position

Capgemini is hiring an experienced software engineering professional to design, build, deploy, and support production-grade conversational and Agentic AI applications. The role involves hands-on development with Python, APIs, JSON, Google Gemini, Vertex AI, Google ADK, and related agent frameworks, as well as building CES/GECX integrations and modernization scenarios. The engineer will create agent workflows, tool/function calling, state and context management, orchestration, and retrieval-augmented generation (RAG) and enterprise-grounding solutions over structured and unstructured data.

The position integrates agents with enterprise APIs, databases, CRM, contact-center platforms, and backend systems, and develops full-stack components as needed. It also covers secure authentication, IAM, secrets management, GCP deployment, evaluation, tracing, observability, guardrails, and regression testing. The engineer will troubleshoot production issues across agent logic, prompts, retrieval, tools, APIs, infrastructure, and distributed services; prototype solutions and advance validated prototypes toward production; and work directly with customer engineering teams to reproduce issues, debug implementations, and resolve technical blockers.

This is a hybrid role based across Atlanta, Dallas, Nashville, Houston, New Jersey, and Chicago. Capgemini describes its environment as collaborative and offers mentoring and coaching. The posted base compensation range is $101,140–$182,624. Regular full-time employees may be eligible for a benefits package based on local policy and eligibility.

Requirements

• 10+ years of relevant experience.
• 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 in RAG, embeddings, or enterprise grounding.
• Experience in GCP application deployment, IAM/security fundamentals, and enterprise integration.

Nice To Haves

• Experience working 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 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 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 vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, based on 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.
• 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