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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Horizon Labs, a pioneering force in next-generation cognitive computing. We are looking for a visionary Senior AI & Future Systems Architect to lead our research division into 2026 and beyond. You will define the architectural blueprints for artificial general intelligence and its integration into scalable cloud ecosystems. This is not just a job; it is a mission to engineer the cognitive infrastructure of tomorrow.

Why Join Us?
We offer a competitive compensation package, equity options, and the chance to work with a team of world-class engineers and data scientists. Our culture is built on radical innovation, transparency, and a relentless pursuit of excellence.

Responsibilities

  • Architectural Leadership: Design and implement high-level system architectures for next-generation neural networks and generative AI models.
  • R&D Strategy: Identify emerging trends in post-silicon computing and quantum AI to drive our roadmap.
  • Code Optimization: Lead initiatives to optimize deep learning inference pipelines for edge devices and massive data centers.
  • Talent Development: Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • System Integration: Bridge the gap between theoretical AI research and practical, scalable production environments.
  • Security & Ethics: Oversee the implementation of ethical AI guidelines and robust security protocols for sensitive data processing.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a senior architectural role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs), transformers, and reinforcement learning.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems in novel ways.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Machine Learning Deep Learning Neural Networks PyTorch TensorFlow Distributed Systems Cloud Architecture R&D

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