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Senior AI Architect - Shaping the Future of 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Architects of Tomorrow.

Nexus Horizon Labs is pioneering the next generation of artificial intelligence. As we gear up for the transformative year of 2026, we are seeking a visionary Senior AI Architect to lead our research into scalable generative models and autonomous systems. If you are driven by complexity and want to build the infrastructure that powers the future, we want to hear from you.

Why Join Us?

  • Work on cutting-edge LLMs and Quantum-AI interfaces.
  • Competitive equity package and remote-first flexibility.
  • Access to state-of-the-art hardware and research grants.

Responsibilities

  • Architect Scalable Systems: Design and implement robust machine learning pipelines capable of processing petabytes of data in real-time.
  • Research Leadership: Spearhead research initiatives focused on Large Language Models (LLMs) and reinforcement learning to anticipate 2026 technological standards.
  • Model Optimization: Drive efficiency improvements in model inference and training cycles using advanced hardware acceleration.
  • Technical Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Strategic Implementation: Bridge the gap between theoretical AI research and practical, production-grade software deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a lead or architect role.
  • Knowledge: Strong understanding of transformer architectures, neural network optimization, and distributed computing (e.g., Kubernetes, AWS, GCP).
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with elegant, scalable solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Large Language Models Kubernetes AWS GCP CUDA NLP Reinforcement Learning

Ready to Take This Challenge?

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