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 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 lifestyle. Available benefits are based on eligibility. Depending on job classification , standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .
Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7968_9_26 California Salary Range: $111300 - $215100
