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Senior AI Architect - Project 2026

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

Job Description

We are on the precipice of a technological revolution. Nexus Core Systems is seeking a visionary Senior AI Architect to lead the development of our flagship Project 2026 neural infrastructure. This is not just another software engineering role; it is an opportunity to define the standards of artificial intelligence for the next decade.

As part of our elite R&D division, you will design scalable, robust, and ethical AI systems that push the boundaries of what is possible. If you are passionate about building the future and thrive in a high-performance, cutting-edge environment, we want to hear from you.

Why Join Us?

  • Competitive compensation and equity packages.
  • Work on the Project 2026 initiative, a top-tier strategic roadmap.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect and deploy scalable machine learning models for the Project 2026 ecosystem.
  • Lead the design of neural networks and deep learning frameworks.
  • Optimize model inference and training pipelines for high-volume data processing.
  • Collaborate with cross-functional teams to integrate AI solutions into core products.
  • Mentor junior engineers and establish best practices for AI development.
  • Ensure all systems adhere to rigorous data privacy and AI ethics standards.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in AI/ML engineering, including 2+ years in a senior leadership role.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Scikit-learn.
  • Strong experience with distributed systems and cloud computing platforms (AWS/GCP/Azure).
  • Proven track record of deploying production-grade ML models.
  • Excellent problem-solving skills and ability to work in a fast-paced startup environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Distributed Systems Cloud Computing AI Architecture

Ready to Take This Challenge?

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