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Information Technology 🏒 Full Time ⭐️ Verified

2026 Visionary AI Architect

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

Job Description

Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary 2026 AI Architect to lead our cutting-edge research into next-generation artificial intelligence and autonomous systems. In this pivotal role, you won't just build software; you will define the paradigms of computing for the coming decade.

We are looking for a thought leader who can bridge the gap between theoretical research and scalable production systems. If you are passionate about pushing the boundaries of what is possible with Large Language Models, Neural Networks, and Quantum Computing interfaces, we want to hear from you.

Responsibilities

  • Design and architect scalable, high-performance AI systems capable of handling exabyte-scale data processing.
  • Lead the research and development of proprietary algorithms that define the Nexus Horizon ecosystem.
  • Collaborate with cross-functional teams to integrate advanced AI models into consumer and enterprise products.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Stay ahead of industry trends, specifically focusing on pre-2026 technologies like Neuromorphic computing and edge AI.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with a strong portfolio of deployed products.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Spark).
  • Deep understanding of neural architecture search, natural language processing, and generative adversarial networks.
  • Exceptional problem-solving skills and the ability to translate complex technical concepts into actionable strategy.

Required Skills

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

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