Senior AI Engineer

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.

KPMG is currently seeking a Senior Engineer to join our Audit Technology Organization (ATO).

• 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 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

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours,