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Senior AI Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 250.000 – USD 400.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Horizon Labs is seeking a visionary Senior AI Architect to lead the development of our next-generation AGI systems. In this pivotal role, you will define the technical roadmap for our 2026 roadmap, ensuring our models are not only powerful but safe, scalable, and aligned with human values.

Why Join Us?

We are building the operating system for the next era of intelligence. You will work alongside world-class researchers and engineers to push the boundaries of what is possible in machine learning. If you are passionate about solving the hardest problems in AI safety and scalability, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Design Neural Architectures: Spearhead the design and implementation of cutting-edge deep learning models, focusing on efficiency and scalability.
  • AGI Roadmap Leadership: Define the technical strategy and milestones for achieving Artificial General Intelligence by 2026.
  • Model Alignment: Develop and integrate safety protocols and reinforcement learning frameworks to ensure AI behavior is beneficial and robust.
  • Technical Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Optimization: Oversee the deployment of models in production environments, optimizing inference latency and resource utilization.
  • Research Integration: Bridge the gap between theoretical research and practical engineering applications.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Experience: 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Domain Knowledge: Proven track record in Large Language Models (LLMs), Transformers, or Reinforcement Learning.
  • Leadership: Demonstrated ability to lead cross-functional teams and manage complex technical projects.
  • Innovation: A strong intuition for emerging trends and the ability to adapt quickly to new technologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Reinforcement Learning NLP MLOps AGI System Architecture

Ready to Take This Challenge?

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