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Added 8 mins ago
VD
Senior AI/ML Engineer - AI Live Operations
Verizon Data Services LLC
Basking Ridge, NJ
- $111,500 to $194,000 USD / year
As a Senior AI/ML Engineer - AI Live Operations, you will apply your advanced technical expertise in data science, system orchestration, and software engineering to maintain the stability,…
Added 13 mins ago
Looker Forward Deployed Engineer
Capgemini
Austin, TX, TX
We are seeking a Google Looker Forward Deployed Engineer (FDE) to work directly with clients to design, build, and deploy modern analytics, AI, and data solutions leveraging Looker,…
Added 35 mins ago
Senior Forward Deployed Engineer, AWS
NTT Managed Services Americas, LLC
Southfield, MI
Added 39 mins ago
Machine Learning Engineer, Perception
Path Robotics
Remote, United States
Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations.
Added 48 mins ago
Principal AI Platform Engineer, Applied AI
Snowplow
Remote, United States
Eval and tracing infrastructure. The harness the embedded and forward deployed engineers use to prove their agents work. You own the tooling; they own the checks.
Added 50 mins ago
TT
Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
Added 55 mins ago
Senior Forward Deployed Solution Engineer
Spectro Cloud
Remote, United States
We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU…
Added 58 mins ago
UAV Trainer
UFORCE
Remote, United States
…mission leads, launch and recovery crews, safety observers, Forward Deployed Engineers, and customer teams using role-based programs of instruction and established instructor…
Added 1 hour ago
Staff Engineer, Site Reliability
Babylist
United States
Experienced operating Kubernetes in production - you've debugged the hard stuff, not just deployed the easy stuff
Added 1 hour ago
Staff Engineer, Site Reliability
Babylist
United States
Experienced operating Kubernetes in production - you've debugged the hard stuff, not just deployed the easy stuff
Added 1 hour ago
Senior Engineering Manager, Data & AI
Alvys
United States
Added 1 hour ago
Senior Technical Lead - AI Product Engineering (CMH Health)
Milliman
Chicago, IL · Brookfield, WI · Windsor, CT
At least two years in a technical lead, staff engineer, or similar role, including technical direction, delivery ownership, and developing others.
Added 1 hour ago
Forward-Deployed Engineer
Bask Health
Remote, United States
As a Senior Forward-Deployed Engineer at Bask, you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of Telehealth.…
Added 2 hours ago
Forward Deployed AI Engineer
SAP
New York, NY
As a Forward Deployed AI Engineer, you will independently build AI-native enterprise applications and work directly with customers to solve complex business problems. You will own technical…
Added 2 hours ago
Sr/Staff Frontend Engineer | Web Products
Machinify
Remote, United States
…transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives,…
Added 2 hours ago
M
Forward Deployed Engineer, Agentic Platform
ManpowerGroup
Austin, TX
- $70 to $80 USD / hour
Are you a Forward Deployed Engineer, Agentic Platform with a passion for collaborating with multiple teams and an interest in working onsite? Don't wait... apply today!
Added 2 hours ago
C
Sr. Sales Engineer – Agentic AI for CX
Cyara
Remote, United States
- $170,000 to $220,000 USD / year
Agentic AI experience: Strong, proven experience with how AI agents and agentic workflows are built, deployed, and behave in CX environments.
Added 2 hours ago
Forward Deployed Engineer
United States
…optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product…
Added 2 hours ago
F
Account Manager
Footprint
New York City, NY
- $145,000 to $155,000 USD / year
…with wants to add a workflow or a product, you scope it with a Forward Deployed Engineer and close the deal. When a different team or business line at the same customer gets interested, you…
Added 2 hours ago
Forward Deployed Engineer
Newell Brands
Hoboken
…optimization and extending to other needs as they come up. The Forward Deployed Engineer designs and builds the solutions. You will work directly with the teams who own content, product…
Added 2 hours ago
Senior/Staff Full Stack Software Engineer
Trase Systems
Remote, United States
As a Senior or Staff Full Stack Software Engineer at Trase, you will build and support software for Red Cell Federal (RCF), Red Cell Partners (RCP), and RCP incubations and portfolio…
Added 2 hours ago
Senior/Staff DevOps Engineer, Federal
Trase Systems
Remote, United States
As a Senior or Staff DevOps Engineer at Trase, you will build, deploy, and operate the infrastructure supporting Red Cell Federal and Red Cell Partners’ incubations and portfolio companies.…
Added 2 hours ago
Forward Deployed Engineer, Applied AI
Snowplow
Remote, United States
You are the first Forward Deployed Engineer on the team, reporting to the Senior Director of Applied AI. The team is also hiring a principal engineer to own the platform and an Applied AI…
Added 2 hours ago
AI Forward Deployed Engineer (FDE)
Insight Global
Coral Gables, FL
The AI Forward Deployed Engineer (FDE) bridges business and technology, helping teams identify opportunities to improve workflows, decision-making, and productivity through AI. This…
Added 3 hours ago
C
Founding Forward Deployed Engineer
Clera
Remote, United States
- $180,000 to $250,000 USD / year
- At least 3 years of experience in a technical, customer-facing role such as forward deployed engineering, solutions engineering, or software engineering with substantial customer exposure.

Capgemini

Forward Deployed Engineer

New York, NY, NY, United States

The base compensation range for this role in the posted location is: $85,000 - $95,000

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Job details

Pay: The base compensation range for this role in the posted location is: $85,000 - $95,000
Apply by: Nov 15, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

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: Hartford, CT (3 days/week from office).

About the Role

Forward Deployed Engineer specializing in AI solution delivery for the insurance industry, responsible for leading engagements from discovery through production deployment. Combines strong insurance domain expertise with deep experience in Google Cloud's AI ecosystem to rapidly design, build, and scale agentic AI solutions that drive measurable business outcomes. Works directly with business and technology stakeholders to translate complex underwriting, claims, pricing, distribution, and servicing challenges into production-ready AI products while contributing reusable accelerators and best practices across engagements.

Required

• 5+ years of experience with experience in solution engineering, AI engineering, forward-deployed engineering, consulting, or enterprise application development, preferably in client-facing roles.

• Hands-on experience building GenAI and Agentic AI solutions using Google Cloud technologies such as Vertex AI, Gemini, BigQuery, Agent Builder, Cloud Run, and related services.

• Strong understanding of LLM application design, prompt engineering, agent orchestration, RAG architectures, evaluation frameworks, and AI governance.

• Experience designing and integrating enterprise applications, APIs, data platforms, and workflow solutions.

• Strong business consulting and communication skills with the ability to interact directly with executives, business SMEs, and technical teams.

• Proven ability to rapidly prototype and iterate solutions, moving from concept to working demonstration within days.

• Comfortable operating in ambiguous environments with a strong bias toward action, experimentation, and outcome delivery.

Insurance Domain Expertise

• Strong understanding of Property & Casualty, Life, Reinsurance, or Specialty Insurance operations.

• Experience supporting business functions such as underwriting, claims, pricing, actuarial, policy administration, customer servicing, distribution, or broker operations.

• Familiarity with insurance data models, regulatory considerations, document-heavy workflows, and operational processes.

• Ability to identify AI opportunities that drive measurable business outcomes including loss ratio improvement, underwriting efficiency, claims productivity, customer retention, and agent effectiveness.

Preferred

• Google Cloud Professional certifications (Generative AI, Machine Learning Engineer, Cloud Architect, or Data Engineer).

• Experience with insurance platforms such as Guidewire, Duck Creek, Majesco, Sapiens, or similar ecosystems.

• Exposure to regulated-industry governance, model risk management, auditability, explainability, and AI compliance requirements.

• Experience developing reusable frameworks, accelerators, and enterprise-scale AI delivery methodologies.

The base compensation range for this role in the posted location is: $85,000 - $95,000

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.

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