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Information Technology 🏢 Full Time ⭐️ Verified

AI Strategy & Innovation Lead (2026 Vision)

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

Job Description

We are seeking a visionary leader to architect the technological landscape for Nexus Horizon in the pivotal year of 2026. This role sits at the intersection of strategic foresight and technical execution, focusing on the integration of Generative AI, Quantum Readiness, and Ethical Frameworks. You will lead a cross-functional team to define our product roadmap and ensure our infrastructure is future-proof. If you are passionate about shaping the future of technology and leading high-impact initiatives, we want to hear from you.

Responsibilities

  • Define and execute a comprehensive AI and technology roadmap for 2026 and beyond, aligning with business objectives.
  • Lead the R&D initiatives for emerging technologies, specifically Generative AI and edge computing.
  • Collaborate with C-suite executives to translate complex technical concepts into actionable business strategies.
  • Establish governance frameworks for AI ethics, bias mitigation, and data privacy.
  • Mentor and develop high-performing engineering and product teams.
  • Identify strategic partnerships and acquisition targets to bolster our technological capabilities.

Qualifications

  • 10+ years of experience in technology strategy, AI/ML, or a related engineering field.
  • Proven track record of leading large-scale digital transformation initiatives.
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Deep understanding of LLMs, neural networks, and next-gen computing architectures.
  • Exceptional leadership skills with the ability to inspire and manage diverse teams.
  • Strong communication skills, capable of presenting to technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Strategy Leadership Generative AI R&D Ethics Quantum Computing

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