Sr. AI/ML Engineer

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)

Preferred 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 http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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,