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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Director of AI Strategy & Future Trends (2026)

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

Job Description

Are you ready to architect the artificial intelligence landscape of tomorrow? Nexus Horizon Labs is seeking a visionary Director of AI Strategy to lead our 2026 roadmap initiatives. In this high-impact role, you will define the technological trajectory of our next-generation AI systems, ensuring we remain at the forefront of innovation.

We are looking for a leader who doesn't just predict trends but shapes them. If you have a passion for the future of tech and a proven track record of translating complex AI concepts into actionable business strategies, we want to hear from you.

Responsibilities

  • Define the 2026 Vision: Spearhead the strategic roadmap for AI development, identifying emerging technologies and market opportunities for the 2026 timeframe.
  • R&D Leadership: Oversee and mentor a cross-functional team of AI researchers, engineers, and data scientists to drive breakthrough innovations.
  • Stakeholder Management: Communicate complex AI strategies to executive leadership and investors, ensuring alignment across all departments.
  • Competitive Analysis: Conduct deep-dive analyses of competitor AI capabilities and global tech trends to maintain our market leadership position.
  • Ethical AI Governance: Establish frameworks for ethical AI usage, ensuring compliance with global regulations and responsible innovation.
  • Partnerships: Cultivate strategic partnerships with academic institutions and tech leaders to foster a culture of continuous learning.

Qualifications

  • Experience: 10+ years of experience in Artificial Intelligence, Machine Learning, or Data Science, with at least 5 years in a senior leadership or strategic management role.
  • Strategic Mindset: Demonstrated ability to translate high-level vision into detailed execution plans and technical roadmaps.
  • Technical Proficiency: Deep understanding of current and future AI paradigms, including LLMs, generative models, and predictive analytics.
  • Leadership: Proven track record of building and leading high-performing engineering and research teams.
  • Education: Master’s degree or PhD in Computer Science, Engineering, or a related technical field.
  • Communication: Exceptional verbal and written communication skills, capable of influencing diverse audiences.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning R&D Leadership Python TensorFlow Ethics in AI Market Analysis

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