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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect – 2026 Neural Systems

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

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon Labs is pioneering the infrastructure for the 2026 technological landscape. We are looking for a visionary Lead AI Architect to design and implement next-generation neural networks capable of solving complex global challenges.

In this role, you will bridge the gap between theoretical AI and practical application, ensuring our systems are scalable, ethical, and robust for the demands of tomorrow. If you are driven by the possibilities of the future and possess the technical mastery to build it, we want to meet you.

Responsibilities

  • Design and deploy scalable neural architectures tailored for 2026 applications.
  • Lead a team of machine learning engineers in research and development of quantum-ready algorithms.
  • Optimize deep learning models for edge computing and real-time data processing.
  • Establish industry-leading best practices for AI ethics, data privacy, and transparency.
  • Collaborate with cross-functional product teams to define technical roadmaps and vision.
  • Conduct rigorous testing and validation to ensure system reliability in high-stakes environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Experience with quantum computing frameworks or hybrid classical-quantum algorithms.
  • Strong leadership skills and the ability to communicate complex technical concepts to diverse stakeholders.
  • Track record of shipping production-grade AI systems.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Quantum Computing Cloud Architecture AI Ethics System Design

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