Senior Physical AI Architect & Delivery Leader

Fujitsu

Dallas (TX)

On-site

USD 210,000 - 270,000

Full time

14 days+
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Benefits offered by this job

Health benefits
401K

Job summary

Fujitsu seeks a high-impact leader for the Physical AI practice, responsible for technical standards, architectural judgments, and escalations across the portfolio. The Associate Partner will drive end-to-end programs, engage with client executives, and shape reusable accelerators for AI-enabled automation.

Ideal candidates have a documented history of delivering production-grade Physical AI solutions in real-world settings and can lead interdisciplinary teams while aligning with sustainability

Qualifications

  • 8+ years consulting or equivalent senior industry leadership, personally owning end-to-end physical AI programs spanning perception, modeling, and execution.
  • Demonstrated delivery of production solutions with measurable business outcomes in real operating environments.
  • Advanced degree (PhD, MS in Computer Science, Robotics, or equivalent) preferred; deep hands-on experience can substitute.

Responsibilities

  • Serve as trusted technical advisor to senior executives on Physical AI architecture, feasibility, and transformation.
  • Track record personally owning delivery of multiple high-value physical AI or automation programs.
  • Build and grow technical teams; mentor engineers and consultants into delivery leaders.

Skills

Executive leadership
Physical AI architecture
Delivery ownership
Client relationship management

Education

Advanced degree in CS/Robotics

Tools

MLOps
Robotics platforms

Job description

Fujitsu seeks a high-impact leader for the Physical AI practice, responsible for technical standards, architectural judgments, and escalations across the portfolio. The Associate Partner will drive end-to-end programs, engage with client executives, and shape reusable accelerators for AI-enabled automation.

Ideal candidates have a documented history of delivering production-grade Physical AI solutions in real-world settings and can lead interdisciplinary teams while aligning with sustainability

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