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Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Strategist & AI Architect (2026 Roadmap)

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Future Tech Strategist & AI Architect to define the technological landscape leading up to 2026. In this pivotal role, you will not just predict trends; you will architect the future of our enterprise, bridging the gap between cutting-edge AI research and scalable product implementation.

As a key member of our innovation task force, you will oversee the 2026 strategic roadmap, ensuring our infrastructure is quantum-ready and our AI models are autonomous. This is an opportunity for a forward-thinking leader to shape the next decade of technology.

Why join Nexus Horizon?

  • Work on projects that define the future of AI.
  • Competitive compensation and equity packages.
  • Flexible, remote-first culture with premium office amenities in SF.

Responsibilities

  • Lead the end-to-end definition of the 2026 Technology Roadmap, aligning technical vision with business goals.
  • Architect scalable AI solutions for complex enterprise problems, focusing on predictive analytics and generative models.
  • Identify and evaluate emerging technologies (e.g., Quantum Computing, Neuromorphic Engineering) for integration into our ecosystem.
  • Mentor senior engineering teams and foster a culture of innovation and continuous learning.
  • Collaborate with cross-functional stakeholders to translate high-level strategy into actionable technical specifications.
  • Establish governance frameworks for AI ethics, safety, and compliance in a global market.
  • Monitor global tech trends to provide quarterly insights to the C-Suite.

Qualifications

  • 10+ years of experience in software engineering, AI architecture, or strategic technology roles.
  • Proven track record of leading large-scale digital transformations or defining long-term tech strategies.
  • Deep expertise in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
  • Familiarity with quantum computing concepts and edge computing architectures.
  • Strong leadership skills with the ability to inspire and manage diverse technical teams.
  • Advanced degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Exceptional communication skills, capable of explaining complex concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Data Architecture Cloud Infrastructure Leadership R&D

Ready to Take This Challenge?

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