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Information Technology 🏢 Full Time ⭐️ Verified

Chief AI Strategy Officer - 2026 Vision

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 400.000 – USD 600.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Architecting the Future of Technology

Nexus Horizon Solutions is looking for a visionary Chief AI Strategy Officer to define our technological trajectory for the pivotal year of 2026. This is not a standard executive role; it is a strategic command center for the future. You will be responsible for identifying emerging trends, including next-generation AI architectures and quantum-ready systems, to ensure we are the market leaders in 2026.

We are seeking a leader who thrives on ambiguity and possesses the foresight to turn futuristic concepts into tangible business strategies. Join us in building the infrastructure that will define the digital landscape of the next decade.

Responsibilities

  • Define the 2026 Strategic Roadmap: Lead the development of a comprehensive technology vision that aligns with the company’s 2026 goals, specifically focusing on generative AI and autonomous systems.
  • Future-Proof Infrastructure: Architect scalable, secure, and high-performance systems capable of handling the exponential data growth expected by 2026.
  • Emerging Tech Integration: Spearhead the evaluation and pilot programs for emerging technologies, ensuring a competitive edge in the 2026 marketplace.
  • Executive Leadership: Collaborate with the C-Suite to translate complex technical strategies into clear business value and revenue-generating initiatives.
  • Innovation Leadership: Establish and lead a 'Future Tech Lab' dedicated to researching and validating innovations for the 2026 horizon.
  • Stakeholder Management: Communicate complex technical concepts to non-technical stakeholders, securing buy-in for long-term strategic investments.

Qualifications

  • Strategic Vision: 12+ years of experience in senior technology leadership roles, with a proven track record of long-term strategic planning and execution.
  • 2026 Foresight: Deep understanding of the technological landscape projected for 2026, including advancements in Machine Learning, Edge Computing, and Web3.
  • Leadership: Proven ability to lead diverse, high-performance engineering teams and manage complex cross-functional projects across multiple time zones.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and board members.
  • Education: Bachelor’s degree in Computer Science, Engineering, or Business Administration (MBA preferred).

Required Skills

Artificial Intelligence Strategy 2026 Roadmap Quantum Readiness Executive Leadership Cloud Architecture Machine Learning

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