Director/Sr. Director, Forward Deployed Engineering

Director/Sr. Director, Forward Deployed Engineering

Albany, NY; Albuquerque, NM; Anchorage, AK; Ashburn, VA; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boston, MA; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; El Segundo, CA; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Honolulu, HI; Houston, TX; Indianapolis, IN; Irvine, CA; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Las Vegas, NV; Lincoln, NE; Los Angeles, CA; Louisville, KY;

McLean, VA; Melville, NY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Nashville, TN; New Orleans, LA; 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; San Juan, PR; Santa Clara, CA; Seattle, WA; Short Hills, NJ; Shreveport, LA; St Louis, MO; Stamford, CT; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Washington, DC; Winston-Salem, NC

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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/Sr. Director, Forward Deployed Engineering to join our AI & Data Labs practice.

Responsibilities:

Lead a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, owning the full arc from problem framing to MVP to deployed workflow; define and own the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram; provide input with leadership into broader FDE program strategy

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

Drive delivery in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct user and stakeholder feedback; guide working sessions, build trust by transparently communicating risks and progress, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production

Provide hands-on leadership and mentorship to a team of engineers, coaching them through complex challenges while actively contributing to the build; foster a culture of high talent density where every member raises the bar and enable them to deliver quality at speed

Lead working sessions and facilitate collaboration across 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

Advocate for the use of 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

Additional Responsibility for Senior Director: Oversee and mentor high-performing technical teams; execute role with the required experience and passion for working directly with stakeholders to make an outsized impact

Qualifications:

Minimum ten 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 is required

Proven ability to lead, manage, and mentor high-performing technical teams, with at least five years of experience in a combination leadership and individual contributor role; 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)

Additional Qualification for Senior Director: Minimum fifteen years of recent experience in a hands-on leadership role as well as experience in shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; solid background with cloud platforms (Azure, GCP, or AWS)

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=7971_9_26 California Salary Range: $198000 - $357000

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.

• Bachelor’s degree and minimum 10 years shipping secure AI/ML software systems with cloud experience (Azure, GCP, AWS)
• At least 5 years leading and mentoring technical teams, with stakeholder engagement experience
• Deep hands-on knowledge of AI technologies, full-stack capabilities, and strong communication skills