# GECX- Forward Deployed Engineer Source: https://realanalystjobs.com/job/gecx-forward-deployed-engineer-capgemini-9bf783be GECX- Forward Deployed Engineer at Capgemini, an on-site role based in Atlanta, Georgia, USA. Pay stated in the posting: $88,544 to $207,401. First seen on RealAnalystJobs on 15 November 2026, read from Capgemini's own careers page (Capgemini), which RealAnalystJobs re-checks daily and removes the role when it closes. Capgemini has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Capgemini](https://realanalystjobs.com/companies/capgemini) - Location: Atlanta, Georgia, USA - Work mode: On-site - Pay stated in the posting: $88,544 to $207,401 - First seen: Nov 15, 2026 - Employment type: Full time - Source: Capgemini's careers page (Capgemini), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Capgemini had H-1B petitions approved for 2,110 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/capgemini#h1b-record) ## About this role Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location This is for a hybrid work from any of the following locations: Chicago, IL; Atlanta, GA; Nashville, TN; Dallas, TX; NY About the job you're considering At Capgemini, you will collaborate with cross-functional teams to deliver innovative technology solutions that drive business value and enhance client experiences. You will contribute to the design, development, and continuous improvement of scalable, high-quality solutions in a dynamic and collaborative environment. Your Role We are looking for a deeply technical Gemini AI Forward Deployed Engineer capable of personally designing, coding, deploying and troubleshooting enterprise Agentic AI solutions using Gemini and Vertex AI on Google Cloud. This is a hands-on engineering position, not primarily an AI advisory or solution-architecture role. The engineer should be comfortable moving from an incomplete business problem to working code, building agents and integrations, deploying the solution, evaluating its behavior and debugging failures in customer environments. Key Responsibilities Gemini & Agent Engineering • Build production AI applications using Gemini models and Vertex AI. • Design and implement AI agents using Google ADK and applicable Google agent capabilities. • Develop agent tools and function-calling integrations. • Implement agent state, sessions, context management and memory patterns where appropriate. • Develop single-agent and multi-agent orchestration. • Integrate agents with APIs, databases, enterprise applications and operational systems. • Implement human-in-the-loop approval and controlled-action patterns. • Design robust error handling, retries and fallback behaviors. RAG & Grounding • Build enterprise RAG pipelines. • Implement document ingestion, chunking, embeddings, indexing, retrieval and grounding. • Connect Gemini agents securely to enterprise knowledge and structured business data. • Optimize retrieval quality and grounded response generation. • Diagnose hallucination, context and retrieval failures. Your Skills and Experience Evaluation & Agent Reliability • Build repeatable evaluation pipelines for agent behavior. • Develop golden datasets and regression tests. • Evaluate tool selection, groundedness and response quality. • Trace complete agent/tool execution paths. • Debug agent loops, incorrect tool calls and orchestration failures. • Implement guardrails and production observability. • Analyze latency, reliability and model/runtime behavior. Google Cloud Engineering • Build supporting services primarily using Python. • Develop REST/event-driven integrations. • Deploy AI applications and services on GCP. • Work with IAM, service accounts, secrets and secure application patterns. • Containerize workloads using Docker. • Deploy using appropriate serverless or Kubernetes platforms. • Implement CI/CD and Terraform. • Implement logging, tracing, monitoring and operational diagnostics. \#LI-SS1 \#LI-SD1 The base compensation range for this role in the posted location is $88,544 to $207,401 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural herit Description from Capgemini's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/gecx-forward-deployed-engineer-capgemini-9bf783be) and use Apply now there to reach the employer's application. The listing is re-checked against Capgemini's careers page daily and removed when it closes. ## Capgemini 222 open analyst roles on Real Analyst Jobs. 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