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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy Director 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Innovations at the forefront of the 2026 technological revolution! We're seeking an AI Strategy Director to architect our next-generation autonomous systems and predictive analytics platforms. This visionary role demands a blend of technical expertise and strategic foresight to transform industries through AI innovation.

As a key member of our executive team, you'll lead cross-functional initiatives to develop AI solutions that redefine customer experiences, optimize operational efficiency, and drive sustainable growth. We offer unparalleled opportunities to shape the future of artificial intelligence while working alongside world-class researchers and industry pioneers.

Responsibilities

  • Architect and execute multi-year AI roadmaps aligning with 2026 technological forecasts
  • Lead development of generative AI models for enterprise automation
  • Direct cross-functional teams of ML engineers, data scientists, and product strategists
  • Establish ethical AI governance frameworks ensuring responsible innovation
  • Drive partnerships with academic institutions and tech incubators
  • Present strategic AI initiatives to C-suite executives and board members
  • Monitor emerging AI trends and competitive landscapes

Qualifications

  • PhD in Computer Science, AI, or related field with 10+ years experience
  • Proven track record deploying production-level ML systems at scale
  • Expertise in transformer architectures, reinforcement learning, and generative AI
  • Experience leading teams of 15+ technical professionals
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance
  • Exceptional strategic planning and stakeholder management skills

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Generative AI Reinforcement Learning Data Science Ethics Leadership

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