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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Innovation Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution. We're seeking a visionary AI Innovation Strategist to architect the next wave of intelligent systems that will redefine industries. This role demands a blend of technical expertise and futuristic vision to develop AI roadmaps that align with our 2026 innovation horizon. You'll collaborate with quantum computing researchers, neural network architects, and ethical AI specialists to build solutions that anticipate tomorrow's challenges today.

Our San Francisco headquarters features state-of-the-art labs where you'll pioneer breakthroughs in generative AI, predictive analytics, and human-machine symbiosis. We offer comprehensive benefits including equity, unlimited learning stipends, and flexible remote work options for our global team.

Responsibilities

  • Develop 2026 AI innovation roadmaps aligned with emerging technological trends
  • Lead cross-functional teams to prototype and scale AI solutions
  • Conduct horizon scanning for breakthrough technologies in quantum computing and AGI
  • Design ethical frameworks for next-generation autonomous systems
  • Partner with product teams to commercialize AI innovations
  • Present strategic vision to C-suite and venture capital partners
  • Mentor junior researchers in future-focused methodologies

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years in AI strategy or innovation leadership
  • Published research in top-tier AI/ML conferences
  • Deep expertise in transformer architectures and quantum machine learning
  • Proven track record of launching AI products at scale
  • Understanding of 2026 technological convergence trends
  • Experience with ethical AI governance frameworks
  • Exceptional communication for technical and non-technical audiences

Required Skills

AI Strategy Quantum Computing Generative AI Machine Learning Ethical AI Innovation Management Technology Roadmapping Neural Networks

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