AI Research Scientist- Associate Director

AI Research Scientist - Associate Director

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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. If you're as passionate about your future as we are, join our team.

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

• 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 for AI model training; from infrastructure, to data labeling, 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.

• 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 Lang Chain/Lang Graph 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.

KPMG offers a comprehensive, competitive benefits package, including medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well‑being benefits. Full details can be found at

Compliance Statement: KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable laws.