Senior GECX AI Forward Deployed Engineer

Capgemini • Atlanta, GA

3d • $89,400 - $166,398 • Hybrid

About The Position

Capgemini is seeking a hands-on GECX AI Forward Deployed Engineer to design, build, integrate, deploy, and troubleshoot production-grade customer experience and Agentic AI solutions on Google Cloud. This is primarily an engineering role: the engineer writes code, builds AI agents, integrates APIs and enterprise systems, deploys workloads, troubleshoots production issues, and turns customer requirements into working solutions. The role is a hybrid opportunity based in Atlanta, Chicago, New Jersey, NYC, Dallas, or Nashville.

The engineer collaborates with cross-functional teams to deliver technology solutions that create business value and improve client experiences. The work includes developing conversational and Agentic AI applications, enterprise integrations and grounding, deployment, security, observability, evaluation, and production support.

The posted base compensation range is $89,400 to $166,398. The position may also be eligible for variable incentives, bonuses, or commissions. Capgemini offers regular, full-time employees a benefits package that may include paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

• Strong hands-on Python/software engineering skills.
• Gemini/generative AI application development.
• Vertex AI.
• Agentic AI architectures.
• REST APIs and JSON.
• RAG, embeddings, and enterprise grounding.
• GCP application deployment.
• IAM and security fundamentals.
• Enterprise integration.
• Google ADK.
• CES/GECX experience.
• Contact-center/CCaaS integration.
• 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 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.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave.
• 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