> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Data Scientist

Canonical URL: https://nextmove.md/fde/jobs/56cf95c297fd3055

Capgemini posts a FDE role to build what the customer runs in New York, NY, at $76,730–$150,800 base, below the senior FDE median of $190,000 across 1,864 postings with pay. This customer-facing Forward Deployed Engineer designs, builds, and deploys enterprise conversational AI and customer experience solutions on Google Cloud. Read from the employer’s posting on November 8, 2026.

- [Capgemini](https://nextmove.md/fde/companies/capgemini)

First seen Oct 7, 2026 · open on Capgemini careers as of Nov 8, 2026

**$76,730–$150,800** New York, NY Full-time

This customer-facing Forward Deployed Engineer designs, builds, and deploys enterprise conversational AI and customer experience solutions on Google Cloud.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F56cf95c297fd3055&placement=top)
- [View posting at Capgemini](https://www.capgemini.com/jobs/571776-en_GB+sap_btp/)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$77K–$151K Below the median

Midpoint $114K · median $190K

This job $77K to $151K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **5+ years** software engineering experience with strong Python expertise
- **5+ years** software engineering, AI engineering, conversational AI, contact center technologies, or cloud solution delivery with customer-facing Google Cloud AI delivery

Background

- **Software engineering**
- **Solutions and customer engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in New York, NY. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: New York, NY

- **Employment type**: Full-time

- **Pay**:

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## The job description from Capgemini

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

New York, NY

### Your Role

We are seeking an experienced Forward Deployed Engineer (FDE) to lead the design, development, and deployment of enterprise-grade Conversational AI and Customer Experience solutions leveraging Google Cloud Contact Center AI (CCAI), Customer Engagement Suite (CES), Gemini, Vertex AI, and Dialogflow CX. This role combines software engineering, AI solution architecture, and customer-facing delivery to help strategic clients transform contact center and customer service operations through Generative AI.

### Key Responsibilities

Design, develop, and deploy conversational AI solutions usin Dialogflow CX, Gemini-powered Conversational Agents, CCAI, and Customer Engagement Suite (CES).

Architect and build AI-powered virtual agents, voice bots, digital assistants, agent asist, and self-service customer experience solutions.

Develop scalable backend services and integrations using Python and Google Cloud srvices.

Implement and optimize Generative AI, Retrieval Augmented Generation (RAG), Vector Sarch, Agentic AI, and Knowledge Grounding capabilities.

Integrate AI solutions with enterprise platforms including CRM, Contact Center, ERP, Kowledge Management, and custom APIs.

Build and deploy cloud-native applications using Vertex AI, Cloud Run, Cloud Functios, Pub/Sub, BigQuery, GKE, and API Gateway.

Lead customer workshops, technical discovery sessions, architecture reviews, and implementation planning.

Troubleshoot and optimize conversational design, NLU performance, prompt engineering, onversation flows, and production deployments.

Collaborate closely with customer engineering teams to establish best practices, accelrate adoption, and deliver measurable business outcomes.

### Required Skills and Experience

Bachelor's degree in Computer Science, Engineering, Inforation Systems, or related field.

5+ years of software engineering experience with strong expertise in Python.

Hands-on experience implementing Google Contact Center AI (CCAI), Dialogflow CX, Cusomer Engagement Suite (CES), and Vertex AI.

Experience designing and delivering enterprise Conversational AI and Generative AI soltions.

Strong experience with REST APIs, microservices, cloud-native architecture, and system integrations.

Experience working directly with enterprise customers and leading technical engagements.

### Preferred Qualifications

Experience with Gemini, Vertex AI Agent Builder, RAG architectures, Vector Databases, and Multi-Agent Systems.

Experience modernizing enterprise contact centers and customer service operations.

Gogle Cloud Professional Certifications preferred.

Required Technical Skills

Python (Primary Development Language)

Google Cloud Platform (GCP)

Dialogflow CX

### Experience

5-10+ years of experience in Software Engineering, AI Engineering, Conversational AI, Contact Center Technologies, or Cloud Solution Delivery with proven success delivering customer-facing AI solutions on Google Cloud.

### Ideal Candidate

A hands-on engineer who can code in Python, architect Google CCAICES solutions, deploy Gemini-powered conversational experiences, and partner directly with enterprise customers to take AI solutions from concept to production.'

The base compensation range for this role in the posted location is $76,730 to $150,800

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.

[View posting at Capgemini](https://www.capgemini.com/jobs/571776-en_GB+sap_btp/)

## About Capgemini

Capgemini helps organizations transform through consulting, technology, engineering, cloud, data and AI, and managed business operations.

Public · 5000+ people

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