
Technical Lead Manager, Forward Deployed Engineering
NEW YORK, NYJobSeen 4 days agoSeen in employer's feed 4 days ago
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Job overview
KPMG is seeking a Technical Lead Manager, Forward Deployed Engineering, for its Advisory Services practice. The role leads engineers in building and deploying end-to-end AI systems, sets technical vision and production practices, and mentors the team. It also involves collaborating with client stakeholders, driving delivery in short cycles, and using modern development accelerators where policy permits.
Skills & qualifications
Skills
Qualifications
Full job description
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.KPMG is currently seeking a Technical Lead Manager, Forward Deployed Engineering to join our Advisory Services 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 two-to-six-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 recent 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 Preferred * 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 modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems; this includes: AI systems judgment, context engineering, evaluation discipline, full-stack capabilities, model strategy fluency * Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environme
How this job compares
Set against the 5,230 open Engineering Manager jobs on Olive Jobs, counted October 27, 2026.
- Pay
- This postingNot listed
- New York median$180–259K/yr364 salary ranges
- US median$53–70/hr23 hourly ranges
- Openings
- Olive Jobs lists 428 open Engineering Manager jobs in New York and 5,230 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 7 years of experience; Engineering Manager postings that state a minimum ask for 7 years at the median (4,636 postings).
- Education
- This posting asks for a bachelor's degree; 2,474 of the 5,230 open Engineering Manager jobs (47%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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