AI Context Architect

KPMG

$130K — $160K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 8 years in applied AI/ML, information architecture, or knowledge engineering focusing on NLP and information retrieval.
  • Advanced degree (Ph.D. or Master's) preferred; Bachelor's in computer science, AI, statistics, or a related field required.
  • Expertise in knowledge and content modeling including taxonomy, ontology, and metadata design.
  • Experience with end-to-end lifecycle for content and context pipelines from ingestion to deployment.
  • Hands-on experience with modern AI frameworks, retrieval techniques, and context architecture modeling.
  • Strong ability to communicate complex findings to both technical and executive audiences.

Responsibilities

  • Lead the design of context architecture for KPMG Clara and global content systems feeding AI solutions.
  • Collaborate with AI engineers and product managers to translate research into production-ready components.
  • Design an evaluation framework to measure retrieval quality and AI outcome reliability.
  • Drive context and content strategy by identifying trends and proposing innovative solutions.
  • Implement processes across the content-to-context lifecycle to manage production retrieval pipelines.
  • Prototype novel context and retrieval approaches and share findings globally.
  • Uphold KPMG's values of integrity and professionalism in the workplace.

Benefits

  • Comprehensive medical and dental plans.
  • Vision coverage, disability, and life insurance.
  • 401(k) plans and personal well-being benefits.
  • Generous Personal Time Off policy with non-PTO holiday breaks.
  • Support for mental health through a robust benefits suite.
Full Job Description
KPMG is currently seeking an AI Context Architect to join our Technology Organization (ATO).

Responsibilities:
  • Lead the design of context architecture for KPMG Clara and the global content systems that feed our KPMG Clara AI solutions, defining how audit methodology, standards, engagement content and more are modeled, structured, and made machine-consumable
  • Collaborate closely with AI engineers, content owners, and product managers to translate knowledge modeling and retrieval research into scalable, production-ready grounding components
  • Design and champion a rigorous experimentation and evaluation framework to measure retrieval quality, grounding accuracy, and the reliability of AI-driven outcomes
  • Drive the context and content strategy agenda by identifying emerging trends in knowledge representation and generative AI, proposing innovative solutions, and mentoring junior team members to foster a culture of continuous learning and excellence
  • Design and implement processes across the content-to-context lifecycle; from content ingestion, structuring, and metadata enrichment, to chunking, indexing, and embedding strategies; work to ensure retrieval pipelines can be deployed and managed in production
  • Architect and prototype novel context and retrieval approaches; share findings with colleagues across KPMG globally to advance wider AI and content modernization 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, information architecture, or knowledge engineering, with a focus on natural language processing, information retrieval, and large-scale language models
  • Advanced degree (Ph.D. or Master's) from an accredited college or university is preferred; minimum of a Bachelor's degree from an accredited college/university in computer science, AI, statistics, or a related quantitative field is required
  • Deep theoretical knowledge and practical expertise in knowledge and content modeling (taxonomy, ontology, metadata, and structured content design) and in knowledge retrieval (RAG), including chunking, embedding, and grounding techniques for large language models
  • Proven experience designing and implementing the end-to-end lifecycle for content and context pipelines, including content ingestion, structuring, enrichment, indexing, and production deployment
  • Experience modeling information architecture systems into context architecture for use in AI solutions; extensive hands-on experience prototyping and experimenting with modern AI and retrieval frameworks, along with vector and search technologies
  • Exceptional ability to translate ambiguous business and content challenges into defined architecture problems and articulate complex findings and their strategic implications to both technical and executive audiences

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

Similar Jobs

More Jobs at KPMG

More Enterprise Technology Jobs

Find similar AI Context Architect jobs: