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Lead AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological roadmap for the year 2026 and beyond.

At Nexus Horizon Labs, we are not just building software; we are architecting the future of synthetic intelligence. Your work will bridge the gap between today's deep learning models and the autonomous, ethical AI systems required for the next decade. If you possess the drive to pioneer the next frontier of human-machine interaction, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that will define the AI landscape of the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art offices in the heart of San Francisco.

Responsibilities

  • Design and implement scalable neural architectures capable of processing multi-modal data streams and predictive modeling.
  • Lead a cross-functional team of researchers and engineers to pioneer breakthroughs in generative reasoning and autonomous agents.
  • Establish rigorous ethical frameworks for AI alignment, safety protocols, and responsible innovation.
  • Collaborate with product leadership to translate high-level technical roadmaps into commercial applications.
  • Stay ahead of global trends in quantum computing, edge AI, and neuromorphic engineering.
  • Drive the technical vision for the company's flagship 2026 platform release.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Computational Neuroscience, or a related field.
  • 10+ years of progressive experience in machine learning, deep learning, and neural networks.
  • Proven expertise in Python, PyTorch, and distributed computing systems.
  • Strong understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
  • Exceptional leadership skills with a track record of mentoring high-performing technical teams.
  • Demonstrated ability to navigate complex technical challenges with innovative solutions.

Required Skills

Python Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Distributed Systems AI Ethics Cloud Architecture NLP System Design

Ready to Take This Challenge?

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