> Markdown version of [/jobs/ext/4520740-gecx-ai-forward-deployed-engineer-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/4520740-gecx-ai-forward-deployed-engineer-senior-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GECX AI Forward Deployed Engineer - Senior Software Engineer - **Company:** Capgemini - **Location:** Bridgewater, NJ, United States - **Experience:** Expert - **Salary:** $101,140.0 - $182,624.0 - **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, Scripting, Retrieval-Augmented Generation, Multi-Agent Systems, Generative AI, Backend, Agentic-AI, Build Management, Enterprise Integration, Invoking Functions, Google Gemini, Restful APIs - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/gecx-ai-forward-deployed-engineer-senior-software-engineer-bridgewater-nj--dc2030fc-7b3a-4011-b459-2fbc6cbc8ddd ## About the Role Software Engineering, Artificial Intelligence (AI), Team Player, Coaching, Mentoring, Software Development, Python Programming/Scripting Language, Software Engineering, Application Programming Interface (API), JSON, * Senior candidate with 10 plus years of relevant experience * 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 / A2AAgent evaluation and observability * Experience in Streaming / real-time APIs, Production conversational AI, Telephony integrations ## Description This is a hybrid role based across locations - Atlanta, Dallas, Nashville. Houston, New Jersey, Chicago. About the job youre considering The Capgemini team offers extensive career opportunities and provides mentoring and coaching for teammates. This role is an experienced professional with a strong background in software development. Your role * 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.