Gemini AI Forward Deployed Engineer

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 heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.