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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director 2026

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Innovations as we redefine the future. We seek an AI Strategy Director to architect our 2026 technology roadmap, driving breakthrough innovations at the intersection of artificial intelligence and quantum computing. Lead cross-functional teams to develop transformative AI solutions that solve tomorrow's challenges today.

As a pivotal member of our executive leadership team, you'll shape corporate strategy, secure cutting-edge research partnerships, and champion ethical AI frameworks. This role offers unparalleled impact in a dynamic environment where your vision will directly influence global technology trends.

Responsibilities

  • Develop and execute AI strategy for 2026-2030, aligning with quantum computing integration roadmap
  • Lead a multidisciplinary team of AI researchers, ML engineers, and data scientists
  • Establish strategic partnerships with academic institutions and tech pioneers
  • Oversee development of ethical AI governance frameworks and responsible innovation protocols
  • Drive commercialization of AI-powered products with projected $100M+ revenue impact
  • Represent company at global tech forums and industry summits
  • Secure $50M+ in R&D funding through government and private partnerships

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 12+ years experience
  • Proven track record leading AI strategy at Fortune 500 or unicorn startups
  • Expertise in quantum machine learning and next-gen neural networks
  • Published research in Nature/Science or top-tier AI conferences (NeurIPS, ICML)
  • Experience securing $50M+ in government innovation grants
  • Deep knowledge of EU AI Act and evolving global AI regulations
  • Exceptional executive communication and stakeholder management skills

Required Skills

AI Strategy Quantum Computing Machine Learning Neural Networks Ethics in AI R&D Funding Executive Leadership Future Tech Roadmapping

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