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, Fair
360 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 & Innovation (CT&I) 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 (such as Model Context Protocol), prompt engineering, context management, and systematic model evaluation

Exceptional customer-facing presence with the proven ability to articulate complex AI concepts to non-technical leaders, overcome skepticism, and build consensus across cross-functional leadership teams

Verifiable portfolio or shipped codebase

Ability to travel domestically as neededKPMG 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…