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# Senior GECX AI Forward Deployed Engineer - Lead Software Engineer

- **Company:** Capgemini
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $117,930.0 - $223,591.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Databases, Software Debugging, Identity and Access Management, JSON, Python (Programming Language), Key Management, Regression Testing, Software Deployment, Software Engineering, Data Streaming, Unstructured Data, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, Enterprise Integration, Invoking Functions, Google Gemini, Restful APIs, Agent2Agent Protocol
- **Published:** October 16, 2026
- **Apply:** https://www.capgemini.com/jobs/579014-en_US_SAPBTP/x/

## About the Role

* Senior candidate with 15 plus years of relevant experience as Lead/Architect
 * Strong hands-on Python/software engineering
 * Good 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 working 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

## Description

* 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.