We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

Technical Developer, Forward Deployed Engineering

KPMG
United States, New Jersey, Montvale
3 Chestnut Ridge Road (Show on map)
Mar 21, 2026

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 Technical Developer, Forward Deployed Engineering to join our AI & Data Labs practice.

Responsibilities:
  • Collaborate with a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, covering the full arc from problem framing to MVP to deployed workflow; build out the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram
  • Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness; mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code
  • Collaborate and perpetuate a culture of high talent density where every member raises the bar to deliver quality at speed
  • Participate in working sessions and facilitate collaboration across client stakeholders from engineers to the C-suite, and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption
  • Drive delivery in a fast-paced, outcome-accountable environment, operating in 2-to-6-week cycles with direct client feedback; earn client trust, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production; champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase capacity of delivery, increase quality, and deliver faster
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
  • Minimum seven years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid experience with cloud platforms (Azure, GCP, or AWS)
  • Bachelor's degree from an accredited college or university in a science or engineering field
  • Experience and passion for working directly with stakeholders to make an outsized impact
  • Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems; this includes: AI systems judgment, context engineering, evaluation discipline, full-stack capabilities, model strategy fluency.
  • Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments; this includes the presence to lead working sessions and drive decisions with impatient executives and skeptical engineers, a hands-on, accountable style that earns trust by "coaching while building", and the ability to communicate clearly and effectively to diverse audiences (CIO, CISO, CFO, engineers)
  • Candidates must be prepared to demonstrate their experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped
  • Domestic and global travel may be required
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=1331BPG_9_26
KPMG offers a comprehensive compensation and benefits package. 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, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
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.
Applied = 0

(web-bd9584865-7clgh)