Manager, 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 Manager, Forward Deployed Engineer to join our Clients, Technology and Innovation (CTandI) organization. Responsibilities: * Own end-to-end solution architecture and technical direction for the pod, establishing rigorous quality bars through golden evaluation sets, regression harnesses, and red-teaming prior to production release * Write and ship clean, secure production code weekly alongside the team while hardening systems for enterprise-grade scalability, performance, and operational reliability * Lead, mentor, and coach a high-velocity pod of AI-native full-stack engineers across the full lifecycle, from problem framing and MVP development to deployed workflow * Drive agile delivery in two-to-six-week execution cycles, managing constraints, surfacing risks early, and contributing reusable frameworks and components to the shared engineering core * Lead discovery, working sessions, and demonstrations with diverse audiences ranging from technical staff to C-suite executives (CIO, CISO, CFO), tying system performance directly to quantified business outcomes * Partner closely with clients and business sponsors to drive continuous feedback loops, steer discovery pilots, and navigate successful transitions from initial deployment to long-term operational adoption * Design and implement robust testing and deployment harnesses to manage, benchmark, and deploy hybrid model configurations (LLMs and Type 1 models) seamlessly into enterprise production environments * Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: * Minimum seven years of recent, hands-on experience shipping secure, end-to-end production software with a focus on data, ML, and AI-native applications utilizing modern languages such as Python, Go, Rust, or Java * Minimum three years of recent experience in a hands-on leadership capacity managing, coaching, and scaling high-performing engineering teams in rapid-growth, startup, or enterprise environments; founder or early-stage startup experience is a strong plus * Bachelor's degree from an accredited college/university in a STEM field or eight years equivalent practical experience * Demonstrated expertise in architecting, hardening, and operating scalable systems in live enterprise cloud environments across Azure, AWS, or Google Cloud (GCP) * Deep familiarity with modern agentic frameworks, coding harnesses (e.g., Claude Code, Cursor), tool integration standards... For full info follow application link. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link "https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? "contains further information regarding the firm's compliance with federal, state and local recruitment and hiring la ws. No phone calls or agencies please.