Senior AI Engineer

KPMG LLP; Montvale (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

KPMG LLP seeks a Senior Engineer to join the Audit Technology Organization, focusing on building scalable AI-enabled features and aligning with business requirements. You will work with senior engineers and product managers to design AI agents and orchestration patterns.

Responsibilities include testing, code reviews, and contributing to RAG pipelines and Azure Databricks integrations, while ensuring performance and reliability in a collaborative, agile environment.

Qualifications

• Minimum three years of software engineering experience with AI or data-intensive apps.
• Master's degree preferred in CS/Stats/Math/Analytics; Bachelor's required.
• Strong Python programming skills and experience with AI/ML frameworks.
• Experience with Azure DevOps, Git, and CI/CD pipelines.
• Cloud familiarity (Azure) and container tech (Docker, Kubernetes).

Responsibilities

• Develop and implement core components of generative AI solutions.
• Collaborate with engineers and product managers on feature requirements and design.
• Write unit tests, participate in code reviews, and use evaluation frameworks.
• Contribute to RAG pipelines, context engineering, and Azure Databricks integrations.
• Deploy and maintain AI microservices meeting performance and scalability standards.
• Participate in agile ceremonies to ensure timely delivery.
• Uphold integrity and a respectful work environment.

Skills

Python programming

Analytical thinking

Communication

Education

Bachelor's degree in CS/Math/Analytics or related

Master's degree preferred in CS/Statistics/Analytics

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure DevOps

Git

CI/CD pipelines

Azure

Docker

Kubernetes

Job description

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

Qualifications:

• 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 LangChain, LlamaIndex, or Semantic Kernel
• Experience working within an agile environment using SDLC tools like Azure DevOps, 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(200TEC)