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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Strategy Director

Nexus Futura Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Join Nexus Futura Labs at the forefront of 2026's technological revolution. We seek a visionary AI Strategy Director to architect our next-generation artificial intelligence roadmap and lead our charge into the future. This pivotal role demands a blend of technical acumen and business foresight to transform emerging AI capabilities into market-defining solutions. You'll collaborate with Nobel laureates, quantum computing pioneers, and global enterprise partners to shape the AI landscape of tomorrow.

Our San Francisco headquarters features immersive R&D labs, biophilic workspaces, and unlimited access to our quantum computing cluster. We offer unparalleled benefits including equity in our AI patent portfolio, sabbaticals for research expeditions, and a $15,000 annual innovation stipend.

Responsibilities

  • Architect and execute the 2026 AI strategy roadmap integrating quantum computing, neuromorphic systems, and AGI frameworks
  • Lead cross-functional teams of ML researchers, robotics engineers, and data scientists in building autonomous AI systems
  • Establish ethical governance frameworks for next-generation AI deployment across healthcare, climate modeling, and financial sectors
  • Forge strategic partnerships with academic institutions (MIT, Stanford, ETH Zurich) and Fortune 100 companies
  • Drive commercialization of AI innovations through patent development and intellectual property monetization
  • Present AI vision to C-suite executives and board members with data-driven impact projections

Qualifications

  • 15+ years in AI/ML leadership with proven experience scaling AI products to $100M+ ARR
  • PhD in Computer Science, AI, or Quantum Computing with published research in Nature/Science
  • Expertise in transformer architectures, reinforcement learning, and quantum machine learning
  • Track record of building and managing AI teams of 50+ engineers and researchers
  • Deep understanding of global AI regulatory landscapes (EU AI Act, US AI Bill of Rights)
  • Fluency in Python, TensorFlow/PyTorch, and quantum programming languages (Qiskit, Cirq)
  • Experience securing $50M+ in AI research funding from government and private sources

Required Skills

AI Strategy Quantum Computing Machine Learning Neuromorphic Engineering AGI Development AI Ethics Quantum Machine Learning Reinforcement Learning Transformer Architectures

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