Job description

KPMG is currently seeking a Technical Lead Manager, Forward Deployed Engineering to join our Advisory Services 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 • 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 • 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 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 two-to-six-week cycles with direct client feedback; lead working sessions, 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 Preferred • Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience in a hands-on leadership 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) • Demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped • Domestic travel may be required • 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)

Requirements

Must-haves

KPMG is currently seeking a Technical Lead Manager, Forward Deployed Engineering to join our Advisory Services practice.
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
Demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped
Domestic travel may be required

Nice-to-haves

Bachelor’s degree from an accredited college or university in a science or engineering field Preferred

Application prep

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Keywords to mirror

aimachine learningazuregcpaws

Platform: avature
Effort: medium

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