Director, Technical Lead Forward Deployed Engineer

Job Summary

The KPMG Advisory practice is seeking a Director, Technical Lead Forward Deployed Engineer to join our Advisory Services practice. This role involves providing strategic direction for the FDE team, championing production discipline, leading working sessions, and driving delivery in a fast-paced, outcome-accountable environment.

About the Role

This role requires a minimum of ten years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications. The candidate should have a bachelor's degree from an accredited college or university in a science or engineering field, deep hands-on knowledge of modern AI technologies, and proven experience leading technical teams.

Responsibilities

• Work with leadership to provide strategic direction for the FDE team, including scaling FDE delivery, setting technical expectations and standards, and expanding assets and tools for FDE teams
• 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; build trust with clients by transparently communicating risks and progress
• 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
• Spearhead the use of modern development accelerators (Claude Code, Lovable, Cursor, and more) where policy permits, to increase capacity of delivery, increase quality, and deliver faster

Requirements

• Minimum ten years of recent experience shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications
• Bachelor's degree from an accredited college or university in a science or engineering field
• Deep, hands-on knowledge of modern AI technologies and methodologies with demonstrated experience leading teams in designing and implementing advanced AI systems
• Proven ability to lead, manage, and mentor high-performing technical teams, with at least five years of experience in a hands-on leadership role
• 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

Qualifications

• Domestic and global travel may be required

Skills

• Integrity, professionalism, and personal responsibility

Benefits

• Opportunities for personal and professional development

Pay

• Competitive compensation package

Schedule

• Flexible work schedule