Senior GECX AI Forward Deployed Engineer - Lead Software Engineer

Capgemini • Atlanta, GA

1d • $109,180 - $197,175 • Hybrid

About The Position

Capgemini is hiring an experienced software development professional to design, build, deploy, and support 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 function calling, workflows, state and context management, orchestration, retrieval-augmented generation (RAG), and enterprise grounding. The role also integrates agents with enterprise APIs, databases, CRM systems, contact-center platforms, and backend services; develops full-stack components; applies security and IAM practices; and deploys solutions on GCP. Responsibilities include evaluation, tracing, observability, guardrails, regression testing, diagnosing production issues, rapid prototyping, and working directly with customer engineering teams to resolve technical blockers.

This is a hybrid role based across Atlanta, Nashville, Chicago, Dallas, Houston, and New Jersey. The posted base salary range is $109,180–$197,175. Eligible regular full-time employees may receive benefits under applicable local policies, including paid time off and holidays, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs. The role may also be eligible for variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Requirements

• 15+ years of relevant experience as a senior candidate, Lead, or Architect.
• Strong hands-on Python and software engineering skills.
• 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 and CES/GECX.
• Contact-center or CCaaS integration experience.
• Experience with multi-agent architectures, MCP, and A2A.
• Agent evaluation and observability experience.
• Experience with streaming/real-time APIs, production conversational AI, and 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 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 systems, 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 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 (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.
• The role may be eligible for 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