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Lead AI Architect - Project 2026 | San Francisco, CA

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

The Opportunity:

Nexus Horizon Technologies is at the forefront of the generative intelligence revolution. We are currently hiring a visionary Lead AI Architect to spearhead the development of our proprietary 'Project 2026' ecosystem. If you thrive on solving complex scalability challenges and want to define the standard for next-generation neural interfaces, this is your stage.

As part of our elite R&D division, you will oversee the architectural blueprint of our flagship AI suite, ensuring it is robust, secure, and infinitely scalable.

Responsibilities

  • Architectural Vision: Design and implement the core infrastructure for Project 2026, utilizing distributed systems and edge computing principles.
  • Team Leadership: Mentor a world-class team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Model Optimization: Oversee the fine-tuning of large language models to achieve sub-millisecond latency in high-throughput environments.
  • Security & Compliance: Enforce rigorous data privacy protocols and security standards to protect proprietary algorithms.
  • Cross-Functional Collaboration: Work closely with product managers and UX designers to translate complex technical requirements into seamless user experiences.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 10+ years of experience in software architecture, with at least 5 years in leading AI/ML infrastructure projects.
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and Kubernetes.
  • System Design: Proven track record of building scalable microservices and handling petabyte-scale data processing.
  • Innovation: A strong portfolio demonstrating experience with cutting-edge technologies such as Federated Learning or Quantum-ready algorithms.

Required Skills

Python PyTorch TensorFlow Kubernetes Microservices Distributed Systems Machine Learning AI Architecture Cloud Computing

Ready to Take This Challenge?

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