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Senior AI Architect - 2026 Protocol

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are building the future. Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of our proprietary 2026 Protocolβ€”a next-generation neural integration framework designed to revolutionize how enterprises process decentralized data.

In this pivotal role, you will not just write code; you will define the architectural standards for the next decade of artificial intelligence. You will work with a world-class team of researchers and engineers to bridge the gap between theoretical AI models and scalable, real-world applications.

If you are passionate about pushing the boundaries of what is possible in machine learning and want to leave a lasting legacy in the tech industry, we invite you to join our mission.

Responsibilities

  • Architect the 2026 Protocol: Design and implement the core infrastructure for our next-gen neural integration system.
  • Model Optimization: Optimize complex deep learning models for high-throughput, low-latency environments.
  • R&D Leadership: Spearhead research initiatives into emerging AI paradigms, ensuring our technology remains ahead of the curve.
  • System Integration: Collaborate with cloud engineers to deploy scalable AI solutions across distributed systems.
  • Code Review & Mentorship: Establish coding standards and mentor junior engineers to foster a culture of excellence.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 4 years specializing in AI/ML.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Problem Solving: Proven ability to solve complex, ambiguous problems with elegant, scalable solutions.
  • Communication: Exceptional written and verbal communication skills for technical and non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning C++ Cloud Architecture PyTorch TensorFlow System Design Research

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