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Senior AI Architect - 2026 Future Systems (San Francisco, CA)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation intelligence systems for 2026. As the landscape of artificial general intelligence evolves, you will be at the forefront of designing scalable, secure, and efficient neural architectures that redefine human-machine interaction.


In this role, you will bridge the gap between theoretical research and production deployment, ensuring our systems are robust, ethical, and capable of handling the demands of the future.


Why Join Us?

At Nexus Horizon Labs, we are not just building software; we are architecting the future. You will work with a world-class team of researchers, engineers, and ethicists in the heart of Silicon Valley.

Responsibilities

  • Design & Architecture: Lead the end-to-end design of scalable AI infrastructure and neural network architectures tailored for the 2026 ecosystem.
  • Research Integration: Translate cutting-edge academic research into production-ready algorithms and frameworks.
  • Performance Optimization: Oversee model training, fine-tuning, and optimization strategies to ensure low-latency inference and high accuracy.
  • Technical Leadership: Mentor a team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Security: Implement rigorous security protocols and ethical AI guidelines to safeguard data and prevent adversarial attacks.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of experience in machine learning engineering, with a focus on large-scale systems.
  • Technical Skills: Proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Knowledge: Deep understanding of transformer models, generative AI, and distributed computing systems.
  • Problem Solving: Proven track record of solving complex engineering challenges in high-pressure environments.

Required Skills

Python C++ PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AI Architecture Generative AI

Ready to Take This Challenge?

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