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Lead AI Architect - 2026 Horizon | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Intelligence

At Nexus Future Systems, we are not just building software; we are engineering the fabric of tomorrow. We are seeking a visionary Lead AI Architect to spearhead our next-generation generative AI initiatives. This is a pivotal role where you will define the technical architecture for systems that will operate at the forefront of human-machine interaction by 2026.

Why Join Us? We offer a competitive benefits package, including remote flexibility, stock options, and a culture that prioritizes innovation and ethical AI development.

Responsibilities

  • Architect Next-Gen Systems: Design scalable, high-performance AI infrastructure capable of processing exascale data and complex neural networks.
  • Lead Technical Vision: Define the technical roadmap for our 2026 product line, focusing on advanced Large Language Models (LLMs) and autonomous agents.
  • Model Optimization: Oversee the research and implementation of optimization techniques to improve model latency and accuracy.
  • Talent Development: Mentor a team of world-class data scientists, ML engineers, and researchers, fostering a culture of excellence.
  • Strategic Collaboration: Partner with product leaders to translate cutting-edge research into market-ready solutions.
  • Ethical AI Governance: Ensure all systems adhere to rigorous safety protocols and ethical AI standards.

Qualifications

  • Experience: 10+ years of experience in software engineering, machine learning, and AI architecture.
  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, AWS/Azure).
  • Core Competencies: Proven track record of shipping production-level AI applications and managing large-scale machine learning projects.
  • Innovation: Demonstrated ability to stay ahead of the curve, with a keen interest in emerging technologies like Quantum ML or Neuromorphic computing.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Cloud Architecture Kubernetes AWS System Design AI Ethics

Ready to Take This Challenge?

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