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Senior AI Engineer
Job in
Montvale, Bergen County, New Jersey, 07645, USA
Listed on 2026-09-17
Listing for:
KPMG LLP
Full Time
position Listed on 2026-09-17
Job specializations:
-
Software Development
AI Engineer (Applied/Software)
Job Description & How to Apply Below
KPMG is currently seeking a Senior Engineer to join our Audit Technology Organization (ATO).
Responsibilities:- Develop and implement core components of our generative AI solutions, focusing on building robust, scalable features aligned with an understanding of business requirements
- Collaborate with senior engineers and product managers to understand feature requirements and contribute to the technical design of AI agents and orchestration patterns
- Ensure the quality and reliability of your code by writing unit tests, participating in code reviews, and utilizing our enhanced evaluation framework.
- Drive product advancement by actively contributing to the development of RAG pipelines, context engineering modules, and integrations with services like Azure AI Search and Databricks
- Deploy and maintain AI microservices ensuring they meet our high standards for performance and scalability
- Participate actively in our agile development process, including daily stand-ups, sprint planning, and retrospectives, to ensure timely delivery of features
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
- Minimum three years of recent professional experience in software engineering, with demonstrated experience in building and deploying AI or data-intensive applications
- Master's degree from an accredited college or university in computer science, statistics, mathematics, analytics or a related quantitative discipline is preferred;
Bachelor's degree from an accredited college or university is required - Strong programming skills in Python and hands-on experience with AI/ML frameworks such as Lang Chain, Llama Index, or Semantic Kernel
- Experience working within an agile environment using SDLC tools like Azure Dev Ops, Git, and CI/CD pipelines for automated builds and deployments
- Familiarity with cloud platforms, preferably Azure, and containerization technologies like Docker and Kubernetes
- Strong analytical and problem-solving skills, with an excellent ability to communicate technical ideas and collaborate effectively within a team(200
TEC)
Position Requirements
10+ Years
work experience
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