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Chief AI & Future Tech Strategist (2026 Vision)

Apex Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Lead the Architecture of Tomorrow.

Apex Horizon Labs is pioneering the technologies that will define the year 2026 and beyond. We are looking for a strategic visionary to join our elite leadership team as our Chief AI & Future Tech Strategist.

In this pivotal role, you will not just react to market trends; you will anticipate the paradigm shifts in Generative AI, Quantum Computing, and Neural Interfaces. You will be responsible for setting the technical vision that guides our product roadmap, ensuring our infrastructure is resilient, scalable, and future-proof.

If you are a thought leader passionate about the convergence of biology and technology, we want to hear from you.

Responsibilities

  • Define the 2026 Technology Roadmap, focusing on AGI (Artificial General Intelligence) integration and Quantum-ready architecture.
  • Lead high-level R&D initiatives to explore emerging technologies like Neuromorphic Computing and Synthetic Data.
  • Bridge the gap between technical feasibility and business strategy to drive revenue-generating innovations.
  • Establish governance frameworks for Ethical AI and data privacy compliance.
  • Oversee the digital transformation of legacy systems into next-gen cloud-native ecosystems.
  • Build and mentor a world-class team of futurists, data scientists, and engineers.

Qualifications

  • Minimum of 10 years in senior leadership roles (CTO, VP of Engineering, or Chief Strategy Officer).
  • Proven experience leading complex technical strategies in AI, Machine Learning, or Big Data.
  • Strong understanding of Quantum Computing principles and their potential enterprise applications.
  • Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Track record of managing large budgets and cross-functional teams in a fast-paced environment.
  • Master’s degree in Computer Science, Engineering, or Business Administration preferred.

Required Skills

Artificial Intelligence Quantum Computing Enterprise Strategy R&D Management Agile Leadership Neural Networks Data Architecture

Ready to Take This Challenge?

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