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Sr. AI/ML Engineer

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 candidate with 8+ years of experience in Data Engineering and Machine Learning, with strong expertise in Azure Data Platform and hands-on experience in LLM-based solutions and Retrieval-Augmented Generation (RAG) architectures. The ideal candidate will design, implement, and optimize data and AI solutions leveraging Microsoft Azure and modern AI frameworks.

Responsibilities:

+ Design and develop data ingestion pipelines from source systems using Azure Databricks and Azure Data Factory into the Azure Analytics Platform.

+ Build and optimize ETL/ELT pipelines for structured and unstructured data.

+ Develop and deploy LLM-powered applications, including RAG-based solutions for enterprise use cases.

+ Implement vector databases and embedding-based retrieval systems to support RAG workflows.

+ Integrate LLMs with Azure services (e.g., Azure OpenAI, Cognitive Search) for intelligent data processing and insights.

+ Apply Python, PySpark, and modern ML frameworks to build scalable AI solutions.

+ Provide technical design and coding guidance to the team to achieve project deliverables.

+ Ensure CI/CD integration using Azure DevOps for ML and data pipelines.

+ Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

+ Stay current with AI/ML trends, including Generative AI, LLM fine-tuning, and prompt engineering. **Skills & Expertise:**

+ Azure Data Factory, Azure Databricks, Azure DevOps, Azure Storage/Data Lake

+ ETL & ELT, Data Warehousing, SQL, Relational Databases

+ Python, PySpark, and ML frameworks (e.g., Hugging Face, LangChain)

+ LLM development and deployment (Azure OpenAI, or similar)

+ RAG architecture design, Vector Databases (e.g., Pinecone, Weaviate, FAISS)

+ Prompt Engineering, LLM Fine-tuning, and Model Evaluation

+ Experience with Cloud Platforms (Azure is a must)

Pref** **erred Qualifications:

+ Experience with MLOps for LLMs, including model lifecycle management and monitoring.

+ Knowledge of semantic search, embedding optimization, and knowledge graph integration.

+ Familiarity with distributed systems and scalable AI architectures.

+ Understanding of data governance, security, and compliance in AI/ML solutions.

+ Strong problem-solving skills and ability to architect end-to-end AI solutions.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

Flexible work

Healthcare including dental, vision, mental health, and well-being programs

Financial well-being programs such as 401(k) and Employee Share Ownership Plan

Paid time off and paid holidays

Paid parental leave

Family building benefits like adoption assistance, surrogacy, and cryopreservation

Social well-being benefits like subsidized back-up child/elder care and tutoring

Mentoring, coaching and learning programs

Employee Resource Groups

Disaster Relief

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please get in touch with your recruiting contact.

Click the following link for more information on your rights as an Applicant

Salary Transparency Disclaimer

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $102312 to $114235/yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with 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 fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

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: 354215

Posted on: Nov 10, 2025

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

New York, USNew York, NY, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.