Technical Lead, Forward Deployed Engineering

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 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 spon