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Director of Future Tech & AI Strategy (2026 Roadmap)

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a technological revolution. Horizon Dynamics is seeking a visionary Director of Future Tech & AI Strategy to define the architectural blueprint for the year 2026 and beyond. In this role, you won't just be managing current projects; you will be building the foundation for the next generation of human-machine symbiosis, quantum computing integration, and sustainable digital ecosystems.

Join a team of elite engineers and futurists dedicated to solving humanity's grandest challenges through advanced technology. You will operate at the intersection of cutting-edge research and scalable product implementation.

Responsibilities

  • Strategic Roadmapping: Define and execute the 2026+ technology roadmap, focusing on Artificial General Intelligence (AGI), Neural Interfaces, and Quantum-Safe Cryptography.
  • Technical Visionary Leadership: Bridge the gap between theoretical research and practical application, translating complex future concepts into actionable engineering milestones.
  • R&D Management: Lead a high-performance team of researchers and architects in developing proprietary algorithms for predictive analytics and autonomous systems.
  • Stakeholder Communication: Present complex technical visions to C-suite executives, investors, and industry partners to secure funding and buy-in for ambitious long-term projects.
  • Partnerships & Innovation: Identify and forge partnerships with leading academic institutions and tech startups to stay ahead of the curve in emerging tech trends.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Artificial Intelligence, Quantum Physics, or a related field from a top-tier institution.
  • Experience: Minimum of 10 years of experience in software engineering, machine learning, or system architecture, with at least 3 years in a strategic leadership or executive advisory capacity.
  • Technical Expertise: Deep understanding of Large Language Models (LLMs), Transformer architectures, and the future trajectory of Generative AI.
  • Strategic Mindset: Proven ability to forecast industry trends and translate them into scalable business strategies with a 5+ year horizon.
  • Leadership: Exceptional mentorship skills with a track record of building and scaling high-performance engineering teams.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Strategic Planning Neural Networks Cloud Infrastructure R&D Management

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