Technical Lead, Forward Deployed Engineering

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
• 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)