Director/Sr. Director, Forward Deployed Engineering

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

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)