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AI Strategy Director

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

Job Description

Join InnovateX Labs at the forefront of technological evolution as our AI Strategy Director. We're pioneering the 2026 digital landscape, seeking visionary leaders to architect AI frameworks that redefine industries. In this pivotal role, you'll spearhead cross-functional initiatives to transform raw data into enterprise-grade intelligence, driving sustainable growth through ethical AI innovation. Our dynamic culture rewards bold thinkers who thrive at the intersection of technology and human potential.

Located in the heart of San Francisco's tech corridor, you'll collaborate with Nobel laureates and disruptors to shape the next decade of intelligent automation. This isn't just a jobβ€”it's your chance to architect the future.

Responsibilities

  • Architect end-to-end AI roadmaps aligning with 2026 technological forecasts
  • Lead cross-disciplinary teams to deploy ML models generating $10M+ annual ROI
  • Forge strategic partnerships with quantum computing and neuromorphic research institutions
  • Establish ethical AI governance frameworks ensuring regulatory compliance globally
  • Drive AI adoption across Fortune 500 clients through executive-level consulting
  • Secure $15M+ in R&D funding through grant writing and investor relations
  • Mentor next-gen AI talent through university partnerships and innovation labs

Qualifications

  • 15+ years in AI/ML leadership with 5+ years in C-suite strategy roles
  • Published research in Nature/Science journals on neural networks or AGI
  • Proven track record scaling AI teams to 500+ professionals across 3 continents
  • Expertise in federated learning and edge AI deployment at enterprise scale
  • Fluency in Python, PyTorch, and MLOps infrastructure (Kubernetes, Airflow)
  • PhD in Computer Science or equivalent from top 10 global institution
  • Security clearance for DoD-level AI projects

Required Skills

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

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