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Information Technology 🏒 Full Time ⭐️ Verified

Senior 2026 AI Architect | San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary Senior 2026 AI Architect to lead the next generation of intelligent systems. Nexus Horizon Labs is at the forefront of integrating quantum-ready neural networks with legacy infrastructure. If you want to define the future of scalable AI in 2026, this is your opportunity.

Why Join Us?
We offer a competitive compensation package, equity options, and the chance to work on projects that redefine human-computer interaction. You will be part of a elite team dedicated to the 2026 roadmap.

Responsibilities

  • Design and oversee the architecture of the proprietary 2026 AI core, ensuring scalability and quantum compatibility.
  • Lead a cross-functional team of engineers, data scientists, and researchers to deliver cutting-edge solutions.
  • Optimize neural network performance for real-time, high-volume data processing.
  • Establish best practices for machine learning operations (MLOps) and security protocols.
  • Collaborate with stakeholders to translate complex technical requirements into actionable development plans.
  • Mentor junior developers and conduct code reviews to maintain high engineering standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with quantum computing frameworks or a strong willingness to learn emerging paradigms.
  • Proven track record of leading technical teams through complex product lifecycles.
  • Excellent communication skills with the ability to present technical concepts to non-technical executives.

Required Skills

Python TensorFlow PyTorch Quantum Computing System Architecture AI/ML Cloud Computing Kubernetes Docker MLOps

Ready to Take This Challenge?

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