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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Protocol

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future?

Nexus Horizon Labs is pioneering the 2026 Protocol, a revolutionary synthetic intelligence framework designed to redefine human-machine interaction. We are seeking a visionary Lead AI Architect to spearhead the infrastructure and scalability of this next-generation platform.

In this role, you will not just build models; you will define the architectural principles that will guide our AI ecosystem for the next decade. If you thrive in high-stakes environments and are passionate about the bleeding edge of technology, this is your opportunity to leave a lasting legacy.

Why Join Us?

  • Work on the 2026 Protocol, a cutting-edge initiative in generative AI.
  • Competitive salary and equity package in the heart of San Francisco.
  • Flexible remote-first policy with quarterly team retreats.
  • Access to the latest hardware and proprietary datasets.

Responsibilities

  • Architect System Infrastructure: Design and implement scalable, fault-tolerant neural network architectures for the 2026 Protocol.
  • Lead Technical Strategy: Define the roadmap for AI evolution, ensuring alignment with long-term business goals.
  • Optimize Performance: Continuously refine algorithms to improve processing speed and model accuracy.
  • Team Mentorship: Guide a world-class team of ML Engineers and Data Scientists through complex challenges.
  • Research Integration: Bridge the gap between theoretical research and practical, deployable code.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field (or equivalent practical experience).
  • Experience: 8+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership capacity.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and C++.
  • System Design: Deep understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
  • Problem Solving: Demonstrated ability to solve ambiguous, high-complexity technical problems.

Required Skills

Python TensorFlow PyTorch C++ Machine Learning System Design Distributed Systems Cloud Computing AWS GCP

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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