Job Information
KPMG LLP Technical Lead Manager, Forward Deployed Engineering in SALT LAKE CITY, Utah
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 Technical Lead Manager, Forward Deployed Engineering to join our AI and Data Labs practice.
Responsibilities:
Lead a pod of elite, AI-native full-stack engineers with a bias to action to rapidly build and deploy end-to-end AI systems, owning the full arc from problem framing to MVP to deployed workflow; define and own the end-to-end technical vision and architecture for the team's solutions, understanding that a running system beats the cleanest architecture diagram
Champion production discipline for enterprise by establishing and enforcing best practices in context engineering, evaluation, and operational readiness; mandate rigorous testing, including golden sets, regression harnesses, and red-teaming, and set the standard for secure, observable, and auditable code
Provide hands-on leadership and mentorship to a team of engineers, coaching them through complex challenges while actively contributing to the build; foster a culture of high talent density where every member raises the bar and enable them to deliver quality at speed
Lead working sessions and facilitate collaboration across client stakeholders from engineers to the C-suite and cross-functional teams to design creative AI systems where success is measured by tangible, quantified outcomes and effective adoption
Drive delivery in a fast-paced, outcome-accountable environment, operating in 2-to-6-week cycles with direct client feedback; lead working sessions, earn client trust, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production
Champion the use of modern development accelerators such as Claude Code, Lovable, Cursor, and others where policy permits, to increase capacity of delivery, increase quality, and deliver faster
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Minimum seven years of experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications; Solid experience with cloud platforms (Azure, GCP, or AWS)
Bachelor's degree from an accredited college or university in a science or engineering field
Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience in a hands-on leadership role; experience and passion for working directly with stakeholders to make an outsized impact
Deep, hands-on knowledge of... 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 laws. No phone cal ls or agencies please.