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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Lead

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We're seeking a visionary AI Strategy Lead to architect the next generation of autonomous systems and predictive intelligence solutions. This role demands a blend of technical expertise and strategic foresight to transform cutting-edge research into market-defining products. You'll collaborate with elite teams across robotics, quantum computing, and neuromorphic engineering to build the infrastructure that will redefine industries by 2026. Our Austin hub offers unparalleled resources to pioneer breakthroughs in ethical AI deployment and human-machine symbiosis.

Responsibilities

  • Develop and implement AI roadmaps aligned with 2026 technological convergence milestones
  • Lead cross-functional teams in deploying production-grade autonomous systems
  • Architect scalable ML pipelines for real-time predictive analytics at edge scale
  • Establish governance frameworks for ethical AI deployment and bias mitigation
  • Drive innovation through partnerships with quantum computing research institutes
  • Translate technical capabilities into market-defining product roadmaps
  • Mentor AI talent in emerging paradigms like neuro-symbolic integration

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years in applied ML
  • Proven track record deploying autonomous systems in regulated industries
  • Expertise in federated learning and distributed ML architectures
  • Deep understanding of quantum-classical hybrid computing models
  • Certification in AI ethics frameworks (e.g., IEEE 7000)
  • Published research in top-tier AI/robotics conferences (NeurIPS, ICRA)
  • Experience scaling AI teams from 5 to 50+ engineers

Required Skills

AI Strategy Machine Learning Quantum Computing Autonomous Systems Ethics Scalable Architecture Neuro-Symbolic AI Federated Learning

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