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Principal AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Labs is seeking a visionary Principal AI Architect to spearhead our next-generation neural interface research and development. You will be at the forefront of building scalable, high-performance AI systems that bridge the gap between biological intelligence and synthetic computing. If you thrive in an environment that demands innovation, precision, and forward-thinking strategy, this is your opportunity to lead the future.

Responsibilities

  • Architect and implement scalable AI frameworks designed for the 2026 technology roadmap.
  • Lead the research and development of advanced machine learning models, focusing on large language models and neural interfaces.
  • Collaborate with cross-functional teams including quantum computing experts and hardware engineers to integrate software solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Define technical standards and best practices for AI infrastructure security and scalability.
  • Present complex technical concepts to executive stakeholders and non-technical audiences.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering, with at least 5 years in a senior AI leadership role.
  • Expert proficiency in Python, PyTorch, and TensorFlow, with deep knowledge of distributed systems.
  • Proven track record of deploying production-grade AI systems that handle high-volume data.
  • Experience with quantum computing concepts and their application to AI optimization.
  • Strong leadership skills with the ability to drive technical vision in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Quantum Computing Leadership System Architecture

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