KPMG is currently seeking an AI Research Scientist to join our Audit Technology Alliance organization.
Responsibilities:
- Lead applied research initiatives related to AI models, advanced AI agent patterns, optimizing knowledge retrieval, among other areas, to solve complex audit challenges.
- Collaborate closely with AI engineers and product managers to translate cutting-edge research in areas like context engineering and RAG into scalable, production-ready components
- Design and champion a rigorous experimentation framework to measure, validate, and ensure the quality and reliability of AI-driven outcomes
- Drive the team's research agenda by identifying emerging trends in generative AI, proposing innovative solutions, and mentoring junior scientists and engineers to foster a culture of continuous learning and excellence
- Design and implement processes to perform for AI model training; from infrastructure, to data labelling, evaluations, among other areas; work to ensure models can be deployed and managed in production
- Architect and prototype novel research and new solutions; share findings with colleagues across KPMG globally to advance wider AI initiatives
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
- Minimum eight years of recent experience in applied AI/ML research, with a focus on natural language processing, information retrieval, and large-scale language models
- Bachelor's degree from an accredited college/university in Computer Science, AI, Statistics, or a related quantitative field is required; advanced degree (Ph.D. or Master's) from an accredited college or university
- Deep theoretical knowledge and practical expertise in key research areas such as knowledge retrieval (RAG), AI agent architecture, and techniques for fine-tuning and evaluating language models
- Proven experience designing and implementing the end-to-end lifecycle for AI models, including data processing, labeling, training, and production deployment (MLOps)
- Extensive hands-on experience prototyping and experimenting with modern AI frameworks like LangChain/LangGraph or Semantic Kernel.
- Exceptional ability to translate ambiguous business challenges into defined research problems and articulate complex findings and their strategic implications to both technical and executive audiences(200TEC)
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, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8152_9_26
