KPMG is currently seeking a Manager, Harness Engineer to join our Clients, Technology & Innovation organization.
Responsibilities:- Own the technical vision and end-to-end architecture for the agent harness, prioritizing running production systems over static design diagrams
- Stay deeply hands-on by writing, reviewing, and shipping high-quality production code weekly while mentoring engineers through pair programming
- Own real production engineering, focusing on system hardening, scalability, reliability, and telemetry instrumentation (token consumption, latency, tool failure rates) across all agent steps
- Build and optimize the core agent loop (orchestration, state management, termination) and the tool layer (schemas, argument validation, error recovery)
- Engineer robust context pipelines (retrieval, prompt assembly, memory) and end-to-end evaluation infrastructure (golden datasets, trace-based scoring, CI regression suites)
- Facilitate collaborative sessions with stakeholders from engineers to the C-suite, delivering scalable, quantified outcomes in agile two-to-six-week cycles
- Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:- Minimum seven years of recent, hands-on experience shipping secure, end-to-end production software, with deep expertise in modern languages (Python, Go, Rust, or Java) and cloud platforms (Azure, AWS, or Google Cloud (GCP))
- Bachelor's degree from an accredited college or university in a STEM field or ten years of relevant practical experience
- Genuine fluency with modern AI harnesses, frontier models, and agentic frameworks (for example, Claude Code, Cursor, MCP, or comparable standards), paired with open-source contributions
- Clear mental model and hands-on experience designing orchestration, context management, tool integration, and evaluation systems, specifically knowing where they fail in production
- Proven technical architecture ownership of production AI systems combined with the presence to communicate complex technical concepts to skeptical engineers and impatient C-suite executives (CIO, CISO, CFO)
- Results-driven product mindset, comfortable with ambiguity and biased toward shipping (founder, early-stage startup, or enterprise deployment experience is a strong plus); strong portfolio (GitHub or system walk-through) demonstrating shipped systems
- Ability to travel domestically as needed
KPMG LLP and its affiliates and 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 LLP 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. Depending on job classification , standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. 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=7968_9_26 California Salary Range: $111300 - $215100
