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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are building the infrastructure for the next decade. Project 2026 is Nexus Horizon's flagship initiative to redefine human-computer interaction through advanced artificial intelligence and neural engineering. We are seeking a visionary Senior AI Architect to lead the architectural design of our proprietary large-scale language models and autonomous agents.


If you thrive on complexity, have a passion for pushing the boundaries of what is possible in 2026, and want to work with the brightest minds in Silicon Valley, we want to meet you.

Responsibilities

  • Lead the architectural strategy for Project 2026, ensuring scalability, security, and ethical AI compliance.
  • Design and implement distributed machine learning pipelines using Python, Rust, and cloud-native infrastructure.
  • Collaborate with cross-functional teams of researchers, engineers, and product managers to translate research into production-ready systems.
  • Define technical standards and best practices for the AI research lab.
  • Conduct code reviews and mentor junior architects and data scientists.
  • Optimize model inference speeds and reduce computational costs for large-scale deployments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Minimum of 8 years of experience in designing and deploying large-scale machine learning systems.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong proficiency in software engineering principles, including system design, data structures, and algorithms.
  • Experience with high-performance computing (HPC) and cloud platforms (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning System Architecture Cloud Computing AI Ethics TensorFlow PyTorch Rust AWS GCP

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