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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Lead (Future-Focused)

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Shape tomorrow's technological landscape as our AI Strategy Lead. At Nexus Innovations, we're pioneering solutions for 2026 and beyond—developing autonomous systems, quantum-optimized algorithms, and ethical AI frameworks. Join our elite team to architect the next generation of intelligent infrastructure that will redefine industries.

We offer unparalleled opportunities to work with Nobel laureates, publish groundbreaking research, and collaborate with Fortune 500 partners. Your strategic vision will directly influence how humanity interacts with artificial intelligence in the coming decade.

Responsibilities

  • Develop 5-year AI roadmaps aligning with emerging tech trends (quantum computing, neuromorphic systems)
  • Lead cross-functional teams in prototyping next-gen AI solutions for healthcare, climate, and autonomy
  • Establish ethical AI governance frameworks compliant with 2026 regulatory standards
  • Secure $10M+ in R&D funding through strategic partnerships with DARPA and NSF
  • Present findings at global forums (World Economic Forum, AI Safety Summit)
  • Mentor PhD candidates in cutting-edge AI disciplines

Qualifications

  • PhD in Computer Science/AI with 10+ years in machine learning or equivalent breakthrough contributions
  • Published 15+ peer-reviewed papers in NeurIPS/ICML/AAAI with 5K+ citations
  • Proven experience scaling AI systems to 100M+ user environments
  • Expertise in federated learning, explainable AI, and adversarial robustness
  • Track record of securing $5M+ in government/industry research grants
  • Fluency in Python, PyTorch, and quantum programming frameworks (Qiskit)
  • Deep understanding of EU AI Act and NIST AI Risk Management Framework

Required Skills

AI Strategy Machine Learning Quantum Computing Ethics Research Leadership Grant Writing Neuromorphic Systems Federated Learning

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