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Lead AI Architect (AGI Focus)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizon AI, a pioneering force in next-generation intelligence, as our Lead AI Architect. We are on a mission to architect the foundational models of tomorrow, pushing the boundaries of Artificial General Intelligence (AGI). If you are a visionary engineer passionate about scalability, safety, and the future of human-machine interaction, we want to hear from you.

In this pivotal role, you will define the technical vision for our core research infrastructure, leading a team of elite data scientists and engineers. You will bridge the gap between theoretical research and production-grade systems, ensuring our AI solutions are robust, efficient, and transformative.

Responsibilities

  • Architect and lead the development of scalable, high-performance neural network infrastructure for AGI applications.
  • Define and implement technical roadmaps for model training, fine-tuning, and deployment pipelines.
  • Mentor a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to integrate AI models into complex enterprise solutions.
  • Optimize model inference speeds and reduce computational costs without sacrificing accuracy.
  • Stay at the forefront of AI research, evaluating and integrating cutting-edge methodologies (e.g., Transformer architectures, RLHF).

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in AI/ML engineering, with at least 5 years in a leadership or senior architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Ray, Kubernetes).
  • Proven track record of deploying large-scale machine learning models to production environments.
  • Strong understanding of Natural Language Processing (NLP) and reinforcement learning concepts.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python PyTorch TensorFlow Distributed Systems NLP Machine Learning Kubernetes System Design AGI

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