Director, Forward Deployed Engineer

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, Forward Deployed Engineer to join our Clients, Technology & Innovation (CT&I) organization. Responsibilities: - Partner with leadership to define technical standards and scale engineering delivery across EdgeCos, account teams, and industry teams - Write and ship production-ready code daily while taking direct ownership of the most complex, high-priority production challenges - Expand the library of reusable assets, tools, and accelerators, championing modern developer tools like Claude Code, Cursor, and Lovable where permitted - Champion rigorous enterprise production standards, including context engineering, golden sets, evaluation frameworks, regression harnesses, and secure, auditable code - Direct executive working sessions with key leaders (CIOs, CISOs, CFOs) and engineers, building trust through transparent risk and progress communication - Mentor Managers, Senior Associates, and pod leads, directly coaching team members while actively building to scale overall talent density and quality - Architect production pipelines that route data dynamically between stochastic Large Language Models (LLMs) for generative tasks and Type 1 models (e.g., Jev) for low-latency, deterministic, rules-based operations - Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: - Minimum ten years of recent, hands-on experience building, hardening, and operating secure, end-to-end production data, ML, and AI-native applications across Azure, AWS, or Google Cloud (GCP). - Minimum five years of experience leading and mentoring high-performing engineering teams in a startup-velocity environment; founder or early-stage startup experience is a strong plus - Bachelor's degree from an accredited college/university in a STEM field or twelve years of equivalent practical experience - Deep practical knowledge of frontier models, agent frameworks, Model Context Protocol, and developer productivity tools (e.g., Claude Code, Cursor, Lovable) - Full-stack capability with deep expertise in modern production languages (Python, Go, Rust, or Java) alongside structured evaluation discipline and model strategy - Exceptional storytelling ability to communicate complex concepts to CIOs, CISOs, CFOs, and skeptical engineers alike, combined with a strong bias toward owning product outcomes - Verifiable portfolio, GitHub repository, or code walk-through demonstrating shipped work - Ability to travel domestically as needed KPMG LLP and its affiliates and 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 LLP 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 lifest