Director, AI Systems & Forward‑Deployed Engineering

KPMG LLP

Austin (TX)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

KPMG LLP is seeking a Director, Technical Lead Forward Deployed Engineer to guide the Forward Deployed Engineer team within the Advisory Services practice in Austin, TX. The role focuses on strategic direction, robust AI/ML system design, and production readiness across client engagements.

The ideal candidate will lead multi-disciplinary teams, drive secure engineering practices, and collaborate with executives to achieve tangible outcomes.

Qualifications

  • Minimum ten years of experience shipping end-to-end production secure software systems.
  • Experience with cloud platforms (Azure, GCP, or AWS).
  • Bachelor’s degree from an accredited college or university in a science or engineering field.
  • Deep knowledge of modern AI technologies and methodologies with leadership in AI system design.
  • Experience leading teams and mentoring engineers; engaging with executives and stakeholders.

Responsibilities

  • Provide strategic direction for the FDE team and scale delivery with account/industry teams.
  • Champion production discipline and enforce best practices in context engineering and testing; ensure secure, observable code.
  • Mentor engineers, drive high-talent-density culture, and enable delivery of quality at speed.
  • Lead client sessions and cross-functional collaborations to design AI systems with measurable outcomes.
  • Drive delivery in rapid cycles; manage risks and ensure readiness for production.

Skills

Leadership & mentoring
AI/ML systems
Cloud platforms
Stakeholder communication
Strategic direction

Education

Bachelor’s degree in science or engineering

Tools

Claude Code
Lovable
Cursor

Job description

KPMG LLP is seeking a Director, Technical Lead Forward Deployed Engineer to guide the Forward Deployed Engineer team within the Advisory Services practice in Austin, TX. The role focuses on strategic direction, robust AI/ML system design, and production readiness across client engagements.

The ideal candidate will lead multi-disciplinary teams, drive secure engineering practices, and collaborate with executives to achieve tangible outcomes.

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