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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director

FutureVision Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join FutureVision Labs at the forefront of technological innovation as we shape the digital landscape of 2026. We're seeking an AI Strategy Director to architect transformative AI solutions that redefine industries. This leadership role combines visionary thinking with hands-on execution in one of the world's most dynamic tech ecosystems.

As a key member of our C-suite team, you'll drive AI initiatives from conception to deployment, partnering with Fortune 500 clients to unlock unprecedented value through artificial intelligence. Our culture champions intellectual curiosity, rapid prototyping, and ethical AI development.

Responsibilities

  • Develop and execute enterprise-level AI roadmaps aligned with 2026 technological horizons
  • Lead cross-functional teams of data scientists, engineers, and product specialists
  • Drive AI adoption strategies for Fortune 500 clients across healthcare, finance, and logistics
  • Establish governance frameworks for ethical AI implementation and bias mitigation
  • Secure strategic partnerships with emerging AI startups and research institutions
  • Present AI transformation insights to executive stakeholders and C-level executives

Qualifications

  • 10+ years in AI/ML leadership with 5+ years in strategic planning
  • Proven track record deploying enterprise-scale AI solutions in regulated industries
  • Expertise in generative AI, neural networks, and predictive analytics
  • Strong background in AI ethics, explainable AI (XAI), and responsible innovation
  • Exceptional stakeholder management with executive communication skills
  • MBA or advanced degree in Computer Science, AI, or related field
  • Published research or patents in AI/ML preferred

Required Skills

AI Strategy Machine Learning Generative AI Neural Networks Enterprise AI Data Science AI Ethics Predictive Analytics Stakeholder Management AI Governance

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