AI Solutions Developer

Capgemini; New York (NY); On-site; USD 56,186 - 87,556; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans

Life and disability insurance

Job summary

Capgemini is seeking an AI Solutions Developer in New York who will be critical in building end-to-end AI/ML applications. The role requires extensive knowledge in Python and frameworks like PyTorch and TensorFlow.

Your responsibilities will include developing intelligent solutions and collaborating with diverse teams to translate strategic requirements into AI-driven solutions.

Competitive compensation and comprehensive benefits package offered, alongside opportunities to advance skills in a supportive environment.

Qualifications

• Strong hands-on experience with Python for AI/ML development.
• Proficiency with PyTorch and TensorFlow.
• Experience developing applications using LangChain.

Responsibilities

• Design, build, and optimize machine learning models.
• Develop applications powered by Large Language Models.
• Build scalable AI services and backend components.

Skills

Python for AI/ML development

PyTorch

TensorFlow

LLM-based applications using LangChain

Deep learning architectures

APIs and microservices

Cloud-based deployment

Analytical and problem-solving skills

Job description

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AI Solutions Developer

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.

Job Description

We are seeking a highly skilled AI Solutions Developer with strong expertise in building end-to-end AI/ML applications using Python and modern AI frameworks such as LangChain, PyTorch, and TensorFlow. The role involves designing, developing, and deploying intelligent solutions including LLM-powered applications, machine learning models, automation pipelines, and AI-driven integrations.

Responsibilities

• AI/ML Model Development: Design, build, and optimize machine learning and deep learning models using PyTorch, TensorFlow, and related frameworks.
• LLM Generative AI Solutions: Develop applications powered by Large Language Models using LangChain, vector databases, embeddings, and prompt orchestration frameworks.
• Python-Based Application Development: Build scalable AI services, automation tools, and backend components using Python.
• Data Engineering Pipelines: Prepare, transform, and manage datasets; build feature pipelines and model training workflows.
• Model Deployment & MLOps: Deploy models into production using APIs, containerization, Docker, CI/CD, and cloud platforms.
• Evaluation & Optimization: Perform model tuning, evaluation, and performance optimization to ensure accuracy, efficiency, and reliability.
• Cross-Functional Collaboration: Work closely with product engineering and business teams to translate strategic requirements into AI-driven technical solutions.
• Experimentation & Research: Stay up-to-date with emerging AI technologies, evaluate new tools, and prototype innovative solutions.

Required Skills

• Strong hands‑on experience with Python for AI/ML development.
• Proficiency with PyTorch, TensorFlow, or similar deep learning frameworks.
• Experience developing LLM-based applications using LangChain, embeddings, vector databases, FAISS, Chroma, Pinecone, or similar technologies.
• Ability to design and implement end-to-end ML pipelines: training, validation, deployment.
• Strong understanding of machine‑learning concepts, NLP, and deep learning architectures.
• Solid experience with APIs, microservices, and cloud-based deployment.
• Strong analytical, debugging, and problem‑solving skills.

Base compensation range for this role in the posted location is: 56,186 – 87,556.

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 that 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.

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.

Benefits

• 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.

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.

Ref. code: 478561

Posted on: Jun 11, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location: New York, NY, US

Brand: Capgemini

Professional Community: Architecture

Nearest Major Market: Manhattan

Nearest Secondary Market: New York City