Gen AI Engineer

Capgemini; New York (NY); Hybrid; USD 73,000 - 90,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Gen AI Engineer to design, develop, and deploy enterprise AI solutions leveraging Azure AI Services, Copilot, and LLMs. The candidate will build production-grade systems with RAG architectures, vector databases, and agentic workflows while collaborating with stakeholders across the business.

Based in Whippany, NJ, onsite with hybrid from Day 1, you will mentor engineers, ensure governance and responsible AI practices, and deliver scalable AI services on Azure within

Qualifications

• 8+ years of software engineering with 3+ years focused on Generative AI.
• Strong experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Microsoft Copilot.
• Hands-on experience building RAG-based applications and working with vector databases.
• Proficiency in Python and AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
• Experience deploying AI applications using Azure cloud services and modern DevOps practices.
• Strong understanding of prompt engineering, model evaluation, AI observability, and responsible AI principles.
• Experience integrating AI solutions with enterprise systems and APIs.

Responsibilities

• Design and develop enterprise Generative AI solutions using LLMs and multimodal AI models.
• Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge repositories.
• Develop intelligent agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
• Engineer prompts, guardrails, and evaluation frameworks to improve AI accuracy, reliability, and safety.
• Fine-tune, customize, and evaluate open-source and proprietary foundation models.
• Integrate AI solutions with enterprise applications, APIs, databases, Microsoft platforms, and business workflows.
• Develop scalable AI services and APIs for production environments on Azure.
• Establish AI governance, monitoring, security, compliance, and Responsible AI controls.
• Collaborate with architects, product managers, data scientists, and business stakeholders to deliver impactful AI solutions.
• Mentor junior engineers and promote AI engineering best practices across teams.

Skills

Generative AI

Azure AI Services

Python

RAG systems

Vector databases

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

Azure OpenAI

Azure AI Foundry

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location: Whippany, NJ (Onsite/Hybrid from Day 1)

Job Description

We are seeking a Gen AI Engineer with deep expertise in the Microsoft AI ecosystem to design, develop, and deploy enterprise-scale AI solutions. The ideal candidate will have strong hands-on experience with Azure AI Services, Microsoft Copilot, Large Language Models (LLMs), RAG architectures, agentic AI frameworks, and production-grade AI implementations.

Key Responsibilities

• Design and develop enterprise Generative AI solutions using LLMs and multimodal AI models.
• Build and optimize Retrieval-Augmented Generation (RAG) architectures using vector databases and enterprise knowledge repositories.
• Develop intelligent agents and agentic workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
• Engineer prompts, guardrails, and evaluation frameworks to improve AI accuracy, reliability, and safety.
• Fine-tune, customize, and evaluate open-source and proprietary foundation models.
• Integrate AI solutions with enterprise applications, APIs, databases, Microsoft platforms, and business workflows.
• Develop scalable AI services and APIs for production environments on Azure.
• Establish AI governance, monitoring, security, compliance, and Responsible AI controls.
• Collaborate with architects, product managers, data scientists, and business stakeholders to deliver impactful AI solutions.
• Mentor junior engineers and promote AI engineering best practices across teams.

Required Skills

• 8+ years of software engineering experience with 3+ years focused on Generative AI.
• Strong experience with Azure AI Services, Azure OpenAI, Azure AI Foundry, and Microsoft Copilot.
• Hands-on experience building RAG-based applications and working with vector databases.
• Proficiency in Python and AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
• Experience deploying AI applications using Azure cloud services and modern DevOps practices.
• Strong understanding of prompt engineering, model evaluation, AI observability, and responsible AI principles.
• Experience integrating AI solutions with enterprise systems and APIs.

Preferred Qualifications

• Experience with Microsoft 365 Copilot, Copilot Studio, or custom Copilot development.
• Knowledge of MLOps, AI governance frameworks, and enterprise security standards.
• Azure AI, Azure Solutions Architect, or related Microsoft certifications.

The base compensation range for this role in the posted location is: 72786- 90273

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.

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.