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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we shape the future of AI-driven business solutions. As a leader in emerging tech, we're seeking an AI Strategy Director to architect our 2026 roadmap and drive transformative initiatives across Fortune 500 clients. This role blends visionary leadership with hands-on technical expertise to position Nexus as the industry's thought leader in the AI revolution.

Our team operates at the intersection of quantum computing, neural networks, and predictive analytics. You'll collaborate with C-suite executives to develop AI frameworks that redefine industry standards while mentoring next-generation talent in our cutting-edge San Francisco headquarters.

Responsibilities

  • Architect enterprise AI roadmaps aligning with 2026 technological forecasts and market disruptions
  • Lead cross-functional teams in developing generative AI solutions for Fortune 500 clients
  • Establish ethical AI governance frameworks ensuring compliance with evolving global regulations
  • Drive $50M+ AI transformation initiatives across healthcare, finance, and logistics sectors
  • Present strategic insights at industry conferences and publish thought leadership in top-tier journals
  • Mentor AI research teams and foster partnerships with MIT, Stanford, and Berkeley innovation labs
  • Monitor quantum-AI convergence trends to maintain competitive advantage

Qualifications

  • 15+ years in AI/ML strategy with 7+ years directing enterprise-level AI initiatives
  • Proven track record scaling AI teams to 200+ members across global operations
  • Deep expertise in transformer architectures, reinforcement learning, and MLOps
  • Published research in NeurIPS/ICML or equivalent AI conference proceedings
  • Experience with $100M+ AI implementation budgets in regulated industries
  • PhD in Computer Science/AI or equivalent technical leadership credentials
  • Fluency in Python, TensorFlow, and cloud-native AI deployment ecosystems
  • Security clearance or background in federal AI compliance frameworks

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Neural Networks Enterprise Architecture Generative AI MLOps

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