Director/Sr. Director, Forward Deployed Engineering

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
• Provide input with leadership into broader FDE program strategy
• 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
• Drive delivery in a fast-paced, outcome-accountable environment, operating in two-to-six-week cycles with direct user and stakeholder feedback
• Guide working sessions, build trust by transparently communicating risks and progress, manage risks, surface constraints early, and ensure every deliverable is ready for scale or run in production
• 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 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
• Advocate for 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

Qualifications

• 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
• Solid experience with cloud platforms (Azure, GCP, or AWS)
• Bachelor's degree from an accredited college or university is required
• Proven ability to lead, manage, and mentor high-performing technical teams, with at least five years of experience in a combination leadership and individual contributor 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
• Excellent problem-solving, collaboration, and communication skills with the ability to thrive in ambiguous environments

Additional Qualification for Senior Director

• Minimum fifteen years of recent experience in a hands-on leadership role as well as experience in shipping end-to-end production secure software systems, with a focus on data, machine learning, and AI-native applications
• Solid background with cloud platforms (Azure, GCP, or AWS)

Benefits

KPMG offers a comprehensive compensation and benefits package, including:

• Medical and dental plans
• Vision coverage
• Disability and life insurance
• 401(k) plans
• A robust suite of personal well-being benefits to support your mental health
• Personal Time Off per fiscal year
• Calendar of holidays to be observed during the year
• Two breaks each year where employees will not be required to use Personal Time Off

For more information about our benefits, visit our KPMG US Careers site at https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=7971_9_26. For California salary ranges, see this link.