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2026 AI Strategy Director

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape the future of AI at QuantumLeap Innovations as our 2026 AI Strategy Director. You'll architect next-generation AI frameworks that redefine industry standards while leading cross-functional teams through unprecedented technological evolution. This role demands visionary leadership to bridge cutting-edge research with scalable commercial applications in our rapidly expanding quantum computing ecosystem.

We offer unparalleled resources to transform bold ideas into reality, including our $2B R&D lab and partnerships with MIT and Stanford. Join us to pioneer solutions that will power the next decade of human progress.

Responsibilities

  • Design and implement AI strategy roadmap aligning with 2026 technological milestones
  • Lead development of quantum-enhanced machine learning models for autonomous systems
  • Direct cross-disciplinary teams (AI, Quantum Computing, Ethics) to solve complex global challenges
  • Establish industry-first AI governance frameworks balancing innovation with ethical deployment
  • Drive commercialization of AI breakthroughs through strategic partnerships with Fortune 500 clients
  • Represent QuantumLeap at global tech summits and policy discussions on AI's future trajectory

Qualifications

  • PhD in Computer Science/AI or equivalent with 10+ years in advanced AI development
  • Proven track record scaling AI initiatives to $100M+ commercial impact
  • Expertise in quantum machine learning and neuromorphic computing architectures
  • Published research in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
  • Experience leading international teams across 3+ continents
  • Deep understanding of AI ethics frameworks and regulatory landscapes
  • Fluency in Python, TensorFlow, and quantum programming languages (Q#)

Required Skills

AI Strategy Quantum Computing Machine Learning Neuromorphic Systems AI Ethics Leadership Commercialization TensorFlow Q# Python

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