Director, Forward Deployed Engineer

; New York, NY; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, OR; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Sacramento, CA; Salt Lake City, UT; San Antonio, TX; San Diego, CA; San Francisco, CA; Santa Clara, CA; Seattle, WA; Shreveport, LA; St Louis, MO; Stamford, CT; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Washington, DC; Winston-Salem, NC

139510

Career Level Requirement

Experienced

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 Director, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization.

Responsibilities:

Partner with leadership to define technical standards and scale engineering delivery across EdgeCos, account teams, and industry teams
Write and ship production-ready code daily while taking direct ownership of the most complex, high-priority production challenges
Expand the library of reusable assets, tools, and accelerators, championing modern developer tools like Claude Code, Cursor, and Lovable where permitted
Champion rigorous enterprise production standards, including context engineering, golden sets, evaluation frameworks, regression harnesses, and secure, auditable code
Direct executive working sessions with key leaders (CIOs, CISOs, CFOs) and engineers, building trust through transparent risk and progress communication
Mentor Managers, Senior Associates, and pod leads, directly coaching team members while actively building to scale overall talent density and quality
Architect production pipelines that route data dynamically between stochastic Large Language Models (LLMs) for generative tasks and Type 1 models (e.g., Jev) for low-latency, deterministic, rules-based operations
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications:

Minimum ten years of recent, hands-on experience building, hardening, and operating secure, end-to-end production data, ML, and AI-native applications across Azure, AWS, or Google Cloud (GCP).
Minimum five years of experience leading and mentoring high-performing engineering teams in a startup-velocity environment; founder or early-stage startup experience is a strong plus
Bachelor's degree from an accredited college/university in a STEM field or twelve years of equivalent practical experience
Deep practical knowledge of frontier models, agent frameworks, Model Context Protocol, and developer productivity tools (e.g., Claude Code, Cursor, Lovable)
Full-stack capability with deep expertise in modern production languages (Python, Go, Rust, or Java) alongside structured evaluation discipline and model strategy
Exceptional storytelling ability to communicate complex concepts to CIOs, CISOs, CFOs, and skeptical engineers alike, combined with a strong bias toward owning product outcomes
Verifiable portfolio, GitHub repository, or code walk-through demonstrating shipped work
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=7966_9_26 California Salary Range: $171000 - $311000

KPMG LLP and its affiliates and subsidiaries ("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/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring laws.

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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