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Information Technology 🏒 Full Time ⭐️ Verified

Future AI Architect (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the future of intelligence? We are seeking a visionary Future AI Architect to define our strategic roadmap for the year 2026. In this pivotal role, you will not just build systems; you will define the ethical, scalable, and revolutionary technologies that will power the next generation of human-machine collaboration.

Nexus Horizon AI is at the forefront of the post-AGI era. We are looking for a leader who can bridge the gap between theoretical breakthroughs and practical application, ensuring our infrastructure is ready for the quantum and neural leap of 2026. If you are passionate about pushing boundaries and shaping the digital landscape of tomorrow, we want to hear from you.

Why Join Us?

  • Work with a world-class team of engineers and futurists.
  • Shape the 2026 Roadmap for a global enterprise.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Define the 2026 Vision: Lead the strategic planning and technical roadmap for the company's AI evolution, specifically targeting capabilities for the 2026 timeframe.
  • Architect Next-Gen Systems: Design scalable, fault-tolerant neural architectures capable of handling quantum-enhanced processing loads.
  • Lead Innovation Labs: Spearhead experimental projects in AGI safety, synthetic data generation, and holographic UI integration.
  • Cross-Functional Leadership: Collaborate with product, security, and legal teams to ensure the 2026 roadmap aligns with global regulations and ethical standards.
  • Code Review & Mentorship: Mentor senior engineers and define coding standards for future-proof codebases.
  • Predictive Analysis: Conduct deep-dive technical assessments on emerging technologies to forecast their impact on the 2026 landscape.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership or architect role.
  • Technical Mastery: Deep understanding of Deep Learning, Large Language Models (LLMs), and Reinforcement Learning.
  • Future-Ready Skills: Experience with quantum computing libraries or neural interface prototyping is highly desirable.
  • Strategic Mindset: Proven track record of defining long-term technical roadmaps and delivering complex projects on time.
  • Communication: Exceptional ability to translate complex technical concepts into actionable business strategies.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Quantum Computing System Architecture Python C++ Strategic Planning AGI Deep Learning

Ready to Take This Challenge?

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