KPMG is currently seeking a Technical Lead, Forward Deployed Engineering to join our AI & Data Labs practice.
Responsibilities:- Rapidly build and deploy end-to-end AI systems as part of a pod of elite, AI-native full-stack engineers, owning the full arc from problem framing to a deployed workflow with measured impact; own the end-to-end technical vision and architecture for the team's solutions
- Champion production discipline by building in line with 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
- Deliver production ready code in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct user and stakeholder feedback; manage risks, surface constraints early, and ensure every deliverable meets our stringent "Definition of Done"
- Contribute individually by leading by example to foster a culture of high talent density where every member raises the bar; build trust by transparently communicating risks and progress
- Lead working sessions and facilitate collaboration across stakeholders (from engineers to the C-suite), value modeling leads, and cross-functional teams to design and implement AI systems that deliver tangible, measurable outcomes
- Leverage modern development accelerators (Claude Code, Lovable, Cursor, and more) where policy permits, to increase capacity of delivery, increase quality, and deliver faster
- Act with integrity and professionalism to uphold KPMG's respectful and courteous work environment
Qualifications:- Minimum seven years of recent experience shipping end-to-end production software systems, with a focus on data, machine learning, and AI-native applications
- Bachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required
- 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; Solid experience with cloud platforms (Azure, GCP, or AWS) is strongly preferred
- Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience leading and building
- 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)
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=7974_9_26 California Salary Range: $111300 - $215100
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.
