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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Strategist (2026 Horizon)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Senior AI Strategist to define our roadmap for the 2026 Horizon. In this pivotal role, you will bridge the gap between cutting-edge technology and business execution, ensuring we are not just keeping pace with the future, but defining it.

We are looking for a thought leader who understands the convergence of Generative AI, Quantum Readiness, and Human-Centric Design. If you thrive in ambiguity and have a passion for solving complex problems that don't yet exist, we want to meet you.

Why Join Us?

  • Work at the intersection of AI and the future of enterprise.
  • Shape the strategic vision for a major tech player in the US market.
  • Competitive compensation and equity package.

Responsibilities

  • Define the 2026 AI Roadmap: Collaborate with C-suite executives to outline strategic milestones for AI integration by the year 2026, focusing on scalability and ethical standards.
  • Quantum Readiness Assessment: Evaluate current infrastructure and develop a comprehensive strategy for integrating quantum computing capabilities into our product suite.
  • Lead Innovation Labs: Spearhead internal R&D initiatives to prototype and validate next-generation AI models before market release.
  • Stakeholder Management: Translate complex technical concepts into actionable business strategies for investors, clients, and internal teams.
  • Competitive Analysis: Monitor global trends, emerging competitors, and regulatory shifts to keep Nexus Future Labs ahead of the curve.

Qualifications

  • Experience: 8+ years of experience in Artificial Intelligence, Data Science, or Strategic Technology roles, with at least 3 years in a leadership capacity.
  • Strategic Vision: Demonstrated ability to forecast technological trends and translate them into long-term business strategies.
  • Technical Proficiency: Deep understanding of Machine Learning algorithms, LLMs, and the potential of Quantum Computing.
  • Communication: Exceptional ability to communicate complex ideas to diverse audiences, from engineers to non-technical stakeholders.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field (Master’s preferred).

Required Skills

Artificial Intelligence Strategy Quantum Computing Machine Learning Data Science Roadmapping Leadership

Ready to Take This Challenge?

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