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Lead AI Architect: Shaping the 2026 Horizon

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

Job Description

We are seeking a visionary Lead AI Architect to join our elite research division. Our mission is to engineer the technological foundations for the year 2026 and beyond. In this pivotal role, you will spearhead the development of next-generation artificial intelligence systems designed to solve complex global challenges.

At Nebula Horizon Labs, we operate at the bleeding edge of technology. You will be responsible for defining the architectural roadmap that ensures our AI solutions are scalable, ethical, and robust enough to withstand the demands of a rapidly evolving digital landscape.

Responsibilities

  • Define and execute the long-term AI research and development roadmap for the 2026 product suite.
  • Architect scalable machine learning models that integrate seamlessly with existing infrastructure.
  • Mentor a team of senior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to translate complex research into deployable, high-performance software.
  • Ensure all AI systems adhere to the highest standards of data privacy, security, and ethical AI compliance.
  • Publish cutting-edge research papers and contribute to the open-source community.

Qualifications

  • PhD or Master's degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 7 years of experience in AI/ML engineering, with a proven track record of leading high-impact projects.
  • Deep expertise in Python, PyTorch, or TensorFlow.
  • Extensive experience designing Large Language Models (LLMs) and Generative AI systems.
  • Strong background in distributed computing systems and cloud architecture (AWS/GCP/Azure).
  • Demonstrated ability to navigate ambiguity and drive technical strategy in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs NLP Cloud Computing Distributed Systems AWS GCP

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