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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

FutureTech Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join FutureTech Labs at the forefront of technological evolution. We're seeking an AI Innovation Strategist to architect breakthrough solutions for 2026 and beyond. This role combines cutting-edge research with practical implementation, shaping how AI will transform industries globally. You'll collaborate with world-class researchers to develop scalable frameworks while ensuring ethical deployment in real-world applications. Our Austin hub offers unparalleled resources for prototyping, testing, and launching AI systems that will define the next decade.

Responsibilities

  • Design AI roadmaps for 2026+ adoption across healthcare, logistics, and energy sectors
  • Lead cross-functional teams in prototyping quantum-ML hybrid systems
  • Develop ethical governance frameworks for autonomous decision engines
  • Drive partnerships with academic institutions for next-gen neural architecture research
  • Translate technical breakthroughs into commercial applications with measurable ROI
  • Present strategic vision to C-suite and board stakeholders quarterly
  • Mentor junior researchers in responsible AI development practices

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic leadership roles
  • PhD or equivalent in Computer Science, Cognitive Science, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Expertise in federated learning, neuromorphic computing, or generative adversarial networks
  • Proven track record of scaling AI initiatives from concept to enterprise deployment
  • Deep understanding of ethical AI frameworks (EU AI Act, NIST RMF)
  • Experience with quantum computing interfaces (Qiskit, Cirq, or PennyLane)
  • Strong background in venture capital or corporate innovation strategy

Required Skills

AI Strategy Machine Learning Quantum Computing Neural Architecture Ethics Framework Federated Learning Commercialization Venture Capital

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