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Information Technology 🏒 Full Time ⭐️ Verified

2026 Horizon AI Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Shape the Future of Intelligence

Are you ready to architect the technological landscape of 2026? Nexus Future Labs is seeking a visionary 2026 Horizon AI Strategist to lead our next generation of artificial intelligence initiatives. In this role, you won't just implement existing tech; you will define the roadmap for the next industrial revolution.

We are looking for a thought leader who thrives on ambiguity and possesses the foresight to prepare our enterprise for the rapid evolution of AGI, Quantum AI, and Neural Interfaces. Join a team of elite engineers and futurists dedicated to building the tools that will define the coming decade.

Why Join Us?

  • Work on projects that directly impact the trajectory of human-machine collaboration.
  • Competitive compensation and equity packages.
  • Unlimited PTO and remote-first flexibility.

Responsibilities

  • Define the 2026 AI Roadmap: Collaborate with C-suite executives to create a comprehensive strategic vision for AI integration, focusing on scalability and ethical implications.
  • Pilot Advanced Models: Oversee the deployment and fine-tuning of next-generation Large Language Models (LLMs) and autonomous agents.
  • Bridge Technical & Business Strategy: Translate complex technical capabilities into actionable business insights and product roadmaps.
  • Establish Governance Frameworks: Develop robust protocols for AI safety, bias mitigation, and regulatory compliance in real-time.
  • Drive Cross-Functional Innovation: Lead workshops and design sprints to foster a culture of innovation across engineering, product, and design teams.

Qualifications

  • Experience: 10+ years of experience in Artificial Intelligence, Machine Learning Engineering, or Strategic Tech Leadership.
  • Strategic Vision: Proven track record of identifying emerging tech trends and integrating them into enterprise strategies.
  • Technical Fluency: Deep understanding of neural networks, deep learning architectures, and quantum computing fundamentals.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Education: Master’s degree or PhD in Computer Science, Physics, or a related field.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Neural Networks Quantum Computing Data Architecture Cloud Infrastructure

Ready to Take This Challenge?

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