Technical Lead Manager, Forward Deployed Engineering

Job Summary

The KPMG Advisory practice is seeking a Technical Lead Manager, Forward Deployed Engineering to lead a pod of elite, AI-native full-stack engineers in rapidly building and deploying end-to-end AI systems. The role involves defining and owning the technical vision and architecture, championing production discipline, providing hands-on leadership, and driving delivery in a fast-paced, outcome-accountable environment.

Responsibilities

• Lead a pod of elite, AI-native full-stack engineers 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, emphasizing 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

Requirements

• 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
• Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience in a hands-on leadership role
• Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems
• Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments
• Demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped

Preferred

• Proven ability to work directly with stakeholders to make an outsized impact

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
• Proven ability to lead, manage, and mentor high-performing technical teams, with at least three years of experience in a hands-on leadership role
• Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems
• Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments
• Demonstrate prior experience with real work via a portfolio, a GitHub repository, or a structured walk-through of a system they have designed and shipped

Skills

• Leadership and management skills
• Technical expertise in AI, machine learning, and data
• Collaboration and stakeholder engagement
• Problem-solving and decision-making

Benefits

• Professional development opportunities
• World-class training facility
• Leading market tools

Pay

• Competitive compensation package

Schedule

• Full-time position

Domestic Travel

• May be required

Work Authorization

• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).