New

Manager, Forward Deployed Engineer

KPMG
$111300.00-$215100.00
life insurance, 401(k)
United States, Arizona, Phoenix
Oct 23, 2026
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 & 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 KPMG LLP and its affiliates and subsidiaries ("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/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring laws. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.