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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

FutureVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureVision Labs at the forefront of technological evolution as our AI Strategy Director. We're seeking visionary leaders to architect AI-driven solutions that will redefine industries by 2026. Shape the future of human-machine collaboration while leading cross-functional teams to deploy cutting-edge neural networks, predictive analytics, and autonomous systems.

Our San Francisco headquarters offers unparalleled resources to develop breakthrough AI frameworks that solve humanity's most complex challenges. You'll partner with quantum computing researchers, neuroscientists, and global enterprise clients to transform theoretical AI into practical, scalable innovations.

Responsibilities

  • Develop and execute multi-year AI roadmaps aligning with 2026 technological inflection points
  • Lead enterprise AI transformation initiatives across healthcare, climate modeling, and autonomous systems
  • Architect neural network architectures for real-time predictive analytics at petabyte scale
  • Manage $50M+ AI research budgets and vendor ecosystems
  • Present AI strategy to C-suite executives and government innovation boards
  • Mentor PhD-level AI researchers and ML engineers
  • Drive patent development for novel AI algorithms and quantum-AI hybrids

Qualifications

  • PhD in Computer Science, AI, or related field with 10+ years in AI leadership
  • Proven track record deploying production-grade AI systems with measurable ROI
  • Expertise in transformer architectures, reinforcement learning, and federated learning
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)
  • Experience securing $30M+ in AI research funding
  • Published research in Nature/Science AI journals
  • Security clearance for government AI collaboration projects

Required Skills

AI Strategy Neural Networks Quantum Computing Predictive Analytics Enterprise Transformation AI Ethics Federated Learning Patent Development

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