Forward Deployed Engineer

Capgemini; Jersey City (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

Capgemini seeks a Forward Deployed Engineer in Jersey City to design, build, deploy, and scale AI-powered applications. You will lead AI/ML solution development, integrate AI into enterprise ecosystems, and rapidly prototype novel capabilities for business value.

The role requires deep software engineering and data engineering expertise with a focus on AI, ML, and Generative AI. Ideal candidates bring 8–10 years in software engineering or ML, strong Java/Python, LLMs, agent-based AI, and

Qualifications

• 8 to 10 years of experience in Software Engineering, Machine Learning, Data Engineering, or related domains.
• 3 to 5 years of hands-on experience designing and deploying Agentic AI and Generative AI solutions.
• Strong proficiency in Java and/or Python with experience in REST APIs, microservices, and distributed systems.
• Hands-on experience with LLMs, AI Agents, RAG architectures, prompt engineering, and AI evaluation frameworks.
• Experience working with MongoDB, Kafka, event‑driven architectures, and enterprise‑scale applications.
• Strong SQL and data engineering expertise, including Spark and Databricks.
• Proven experience deploying, monitoring, and supporting production AI/ML solutions at enterprise scale.
• Excellent problem‑solving, stakeholder management, communication, and customer‑facing solution engineering skills.

Responsibilities

• Design, develop, and deploy production‑grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks.
• Build scalable backend services, APIs, and microservices using Java/Python, MongoDB, Kafka, and event‑driven architectures.
• Develop intelligent AI agents using tool calling, MCP, prompt engineering, context management, guardrails, and evaluation frameworks.
• Integrate AI solutions with enterprise applications, business workflows, APIs, and data platforms to drive operational outcomes.
• Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes and implement data‑driven solutions.
• Collaborate with Operations teams and business stakeholders to rapidly prototype, deploy, measure impact, and scale AI‑powered solutions.

Skills

Java

Python

REST APIs

Microservices

Distributed systems

AI/ML Engineering

LLMs

Agentic AI

Generative AI

Data engineering

SQL

Spark

Databricks

Tools

MongoDB

Kafka

Spark

Databricks

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 - Jersey City NJ

Job Description

We are seeking a highly skilled Forward Deployed Engineer with expertise in Full Stack Java Development, AI/ML Engineering, and Generative AI solutions. This role combines software engineering, data engineering, and AI solution development to solve complex business challenges. The ideal candidate will work closely with business stakeholders, operations teams, and subject matter experts to design, build, deploy, and scale production‑grade AI‑powered applications and intelligent automation solutions.

As a Forward Deployed Engineer, you will rapidly prototype innovative solutions, integrate AI capabilities into enterprise ecosystems, and transform successful outcomes into reusable platform services that drive business value at scale.

Key Responsibilities

• Design, develop, and deploy production‑grade AI/ML solutions leveraging Traditional ML, LLMs, Agentic AI, RAG, and workflow automation frameworks.
• Build scalable backend services, APIs, and microservices using Java/Python, MongoDB, Kafka, and event‑driven architectures.
• Develop intelligent AI agents using tool calling, MCP, prompt engineering, context management, guardrails, and evaluation frameworks.
• Integrate AI solutions with enterprise applications, business workflows, APIs, and data platforms to drive operational outcomes.
• Analyze operational and historical data using SQL, Spark, and Databricks to identify root causes and implement data‑driven solutions.
• Collaborate with Operations teams and business stakeholders to rapidly prototype, deploy, measure impact, and scale AI‑powered solutions.

Required Skills & Qualifications

• 8 to 10 years of experience in Software Engineering, Machine Learning, Data Engineering, or related domains.
• 3 to 5 years of hands‑on experience designing and deploying Agentic AI and Generative AI solutions.
• Strong proficiency in Java and/or Python with experience in REST APIs, microservices, and distributed systems.
• Hands‑on experience with LLMs, AI Agents, RAG architectures, prompt engineering, and AI evaluation frameworks.
• Experience working with MongoDB, Kafka, event‑driven architectures, and enterprise‑scale applications.
• Strong SQL and data engineering expertise, including Spark and Databricks.
• Proven experience deploying, monitoring, and supporting production AI/ML solutions at enterprise scale.
• Excellent problem‑solving, stakeholder management, communication, and customer‑facing solution engineering skills.

The base compensation range for this role in the posted location is: $100,000.00 - $130,000.00

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.

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.