AI Engineer- Senior Associate

KPMG LLP; New York (NY); On-site; USD 130,000 - 190,000; Full time

Job summary

KPMG is seeking an AI Engineer to join our Audit Technology Alliance. The role focuses on building AI features, RAG pipelines, and scalable AI microservices in a collaborative, agile environment.

Responsibilities include designing AI agents, ensuring code quality with tests and reviews, and integrating with Azure services. A strong background in Python and cloud/container tech is required, with visa sponsorship not provided.

Qualifications

• 3+ years in software engineering with AI/data-intensive apps.
• Bachelor's degree required; Master's preferred.
• Proficient in Python; familiar with LangChain, LlamaIndex, or Semantic Kernel.
• Experienced with Azure DevOps, Git, and CI/CD pipelines.
• Knowledge of Azure cloud; Docker and Kubernetes experience.
• Strong analytical and problem-solving skills; capable of clear technical communication and teamwork.
• Authorized to work in the U.S. without visa sponsorship now or in the future.

Responsibilities

• Develop and implement core components of generative AI solutions; build robust, scalable features.
• Collaborate with senior engineers and product managers on AI agents and orchestration design.
• Ensure code quality by writing unit tests, code reviews, and using evaluation frameworks.
• Develop RAG pipelines, context engineering, and integrations with Azure AI Search and Databricks.
• Deploy and maintain AI microservices optimizing performance and scalability.
• Engage in agile development processes including daily stand-ups and sprint planning.
• Uphold KPMG's respectful and courteous work environment.

Skills

Python programming

Analytical thinking

Communication

Team collaboration

Education

Bachelor's degree

Master's degree preferred

Tools

LangChain

LlamaIndex

Semantic Kernel

Azure DevOps

Git

CI/CD pipelines

Docker

Kubernetes

Azure

Job description

KPMG is currently seeking an AI Engineer to join our Audit Technology Alliance organization.

Responsibilities:

• Develop and implement core components of generative AI solutions; build robust, scalable features aligned with 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 code quality and reliability by writing unit tests, participating in code reviews, and utilizing enhanced evaluation frameworks
• Drive product advancements by developing RAG pipelines, context engineering modules, and integrations with services like Azure AI Search and Databricks
• Deploy and maintain AI microservices by optimizing performance and scalability that meets high standards
• Engage in agile development processes including daily stand-ups, sprint planning, and retrospectives
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

• Minimum three years of recent experience in software engineering with demonstrated success in building and deploying AI or data-intensive applications
• Master’s degree from an accredited college or university in computer science, engineering, artificial intelligence, or a related technical field is preferred; minimum of a Bachelor’s degree is required
• Strong programming skills in Python; experienced with AI/ML frameworks such as LangChain, LlamaIndex, or Semantic Kernel
• Skilled within an agile environment using SDLC tools like Azure DevOps, Git, and CI/CD pipelines for automated builds and deployments
• Knowledgeable in cloud platforms, preferably Azure; familiar with containerization technologies like Docker and Kubernetes
• Excellent analytical and problem-solving skills; able to communicate technical ideas clearly and collaborate effectively within a team(200TEC)
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)