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Lead AI Architect (2026 Horizon)

Nova Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

We are standing at the threshold of a new era in technology, and Nova Horizon Systems is pioneering the path toward the 2026 Horizon. We are seeking a visionary Lead AI Architect to define the neural architectures that will power the next generation of intelligent systems.

In this role, you will not merely apply existing solutions; you will architect the foundational frameworks for Artificial General Intelligence (AGI), integrating sustainable computing practices with cutting-edge deep learning. This is an opportunity to leave a permanent mark on the future of technology.

Responsibilities

  • Architect and implement scalable AI systems designed to meet the rigorous demands of the 2026 technology landscape.
  • Lead a high-performance R&D team in developing proprietary Generative AI models and large language processing tools.
  • Drive the integration of quantum-ready algorithms into classical machine learning pipelines.
  • Establish industry-leading governance and ethical standards for automated decision-making systems.
  • Optimize model performance and reduce inference costs in high-volume distributed environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 6 years of experience designing and deploying production-grade machine learning systems.
  • Deep proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling.
  • Proven experience leading cross-functional teams through the full software development lifecycle.
  • Strong expertise in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Experience with cloud infrastructure (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Deep Learning AI Architecture Data Science Cloud Computing

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