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Principal AI Architect: The 2026 Horizon | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 320.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to architect the infrastructure of tomorrow? Nexus Future Systems is looking for a visionary Principal AI Architect to lead our 2026 Horizon initiative. We are not just building software; we are defining the ethical frameworks and technical bedrock for the next generation of sentient computing.


In this role, you will bridge the gap between theoretical AGI research and scalable, real-world deployment. You will work with a world-class team of quantum engineers, neuro-linguistic experts, and predictive algorithm specialists to build systems that anticipate human needs before they arise.


Why Join Us?

  • Work on projects that will define the technology landscape of 2026 and beyond.
  • Competitive compensation package with performance-based equity.
  • Flexible remote-first policy with a premium office in the heart of San Francisco.
  • Access to cutting-edge labs and proprietary hardware.

If you are passionate about the intersection of ethics, artificial intelligence, and scalable architecture, we want to hear from you.

Responsibilities

  • Design and oversee the architecture of next-generation Artificial General Intelligence (AGI) systems.
  • Establish best practices for AI safety, alignment, and ethical deployment protocols.
  • Collaborate with quantum computing researchers to integrate quantum-resistant algorithms into neural networks.
  • Lead a cross-functional team of 20+ engineers, data scientists, and ethicists.
  • Define the technical roadmap for the '2026 Horizon' product suite, ensuring scalability and resilience.
  • Conduct rigorous stress testing on predictive models to ensure real-time decision accuracy.
  • Mentor junior architects and contribute to the technical vision of the company.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems.
  • Proven track record of leading large-scale distributed systems projects.
  • Deep understanding of Transformer architectures, Reinforcement Learning, and Federated Learning.
  • Experience with quantum computing frameworks (Qiskit, Cirq) is highly desirable.
  • Strong background in cloud infrastructure (AWS, Google Cloud, or Azure) and containerization (Kubernetes, Docker).
  • Exceptional communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

AI Machine Learning AGI Quantum Computing System Architecture Python TensorFlow PyTorch Kubernetes AWS Leadership Ethics in AI

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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