GECX AI Forward‑Deployed Engineer | Hybrid Role

Capgemini; Atlanta (GA); Hybrid; USD 77,000 - 151,000; Full time

Job summary

Capgemini in the United States is seeking an experienced Forward Deployed Engineer for AI and software development in a hybrid role across Atlanta, Dallas, Nashville, Houston, New Jersey, Chicago.

You will design and build production-grade conversational AI applications, develop with Python, APIs, JSON and modern software practices, and integrate agent frameworks while focusing on secure IAM and enterprise integration.

Qualifications

• Senior candidate with 6+ years of relevant experience.
• Strong hands-on Python/software engineering.
• Experience in Gemini / Generative AI application development, Vertex AI, Agentic AI architectures.
• Solid exposure in REST APIs / JSON.
• Experience in RAG / embeddings / enterprise grounding.
• Good in GCP application deployment, IAM / security fundamentals, Enterprise integration.
• Experience with Google ADK, CES / GECX experience, Contact-center / CCaaS integration, Multi-agent architectures, MCP A2A Agent evaluation and observability.
• Experience in Streaming / real-time APIs, Production conversational AI, Telephony integrations.

Responsibilities

• Design and build production-grade conversational and Agentic AI applications.
• Develop 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/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 the customer solution.
• 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.

Skills

Python

REST APIs

Generative AI

RAG

embeddings

GCP

IAM

CCaaS integration

multi-agent architectures

telephony integrations

Production-grade software

Tools

Gemini

Vertex AI

Google ADK

CES / GECX

Job description

Capgemini in the United States is seeking an experienced Forward Deployed Engineer for AI and software development in a hybrid role across Atlanta, Dallas, Nashville, Houston, New Jersey, Chicago.

You will design and build production-grade conversational AI applications, develop with Python, APIs, JSON and modern software practices, and integrate agent frameworks while focusing on secure IAM and enterprise integration.