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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Future Systems

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nebula Horizon Labs is seeking a visionary Senior AI Architect to lead our core research initiatives in Artificial General Intelligence (AGI) and autonomous systems. If you are passionate about solving unsolved problems and building the infrastructure of tomorrow, we want to meet you.

In this pivotal role, you will bridge the gap between theoretical research and scalable engineering. You will be responsible for designing neural architectures that push the boundaries of what is currently possible, ensuring our systems are resilient, ethical, and ready for the rapid evolution of the next decade.

Why Join Us?

  • Impact First: Work on projects that will fundamentally alter the future of human-machine interaction.
  • Autonomy: Enjoy the freedom to experiment with cutting-edge methodologies.
  • Growth: Be part of a team of world-class researchers and engineers.

Responsibilities

  • Architect and prototype next-generation neural network models targeting 2026 performance benchmarks.
  • Lead the research and development of AGI-aligned systems, focusing on reasoning and long-term planning capabilities.
  • Collaborate with cross-functional teams to translate theoretical research into production-grade code and APIs.
  • Establish best practices for data privacy, security, and ethical AI deployment in future environments.
  • Conduct rigorous testing and validation of system stability under high-load scenarios.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Publish white papers and present findings at leading global AI conferences.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of experience in machine learning research or applied AI engineering.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR) or patents.
  • Strong understanding of Large Language Models (LLMs), transformers, and reinforcement learning.
  • Demonstrated experience in system architecture and high-performance computing.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch System Architecture AGI Neural Networks Research Data Structures Cloud Computing

Ready to Take This Challenge?

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