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Director of AI Strategy (2026 Horizon) - San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the Architects of Tomorrow.

We are seeking a visionary Director of AI Strategy (2026 Horizon) to lead our cutting-edge research division. As we approach the pivotal year of 2026, the integration of Generative AI, Quantum Computing, and Human-Centric Robotics will redefine the global landscape. Nexus Future Systems is at the forefront of this revolution, and we need a leader who can navigate the complexities of tomorrow.

In this role, you will bridge the gap between theoretical future-tech and actionable business intelligence. You will define the roadmap for our next-generation autonomous systems and ensure our AI frameworks are scalable, ethical, and exponentially more powerful than today's standards.

Why Join Us?

  • Work on projects that shape the next decade of technology.
  • Competitive compensation package with equity options.
  • Access to state-of-the-art R&D facilities.
  • Remote-first culture with quarterly global summits.

Responsibilities

  • Strategic Roadmapping: Define and execute the 5-year technological roadmap, specifically focusing on innovations anticipated for the 2026 market cycle.
  • R&D Leadership: Oversee a team of elite data scientists and engineers to develop proprietary algorithms for predictive analytics and generative content.
  • Stakeholder Management: Collaborate with C-suite executives to translate futuristic tech trends into viable business units and revenue streams.
  • Compliance & Ethics: Establish governance frameworks for AI safety, bias mitigation, and regulatory adherence in emerging markets.
  • Global Expansion: Identify and penetrate emerging markets for advanced AI adoption in the 2026 timeframe.

Qualifications

  • Education: Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, Cognitive Science, or a related quantitative field.
  • Experience: Minimum of 10+ years of experience in AI/ML leadership roles, with a proven track record of delivering enterprise-scale solutions.
  • Technical Expertise: Deep understanding of Large Language Models (LLMs), Neural Networks, and the mathematical principles of quantum computing.
  • Strategic Vision: Demonstrated ability to forecast industry trends and pivot organizational strategy accordingly.
  • Communication: Exceptional ability to articulate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Artificial Intelligence Machine Learning Strategy R&D Quantum Computing Leadership Python TensorFlow Ethics in AI Data Science

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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