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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Neural Evolution

ZAI Industries
San Francisco
Estimated Salary
USD 200.000 – USD 320.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join the Architects of Tomorrow.

We are not just building software; we are architecting the future of human-machine synthesis. ZAI Industries is seeking a visionary Lead AI Architect to spearhead the 2026 Initiative, a groundbreaking project dedicated to achieving artificial general intelligence with strict ethical constraints.

In this role, you will define the architectural backbone of our next-generation cognitive systems. You will work at the bleeding edge of neural engineering, merging deep learning with quantum computing principles to solve complex problems that currently seem impossible. If you are driven by the challenge of defining the next era of technology, we want to hear from you.

Responsibilities

  • Design and deploy scalable neural architectures capable of recursive self-improvement and adaptation.
  • Lead the research and implementation of 2026-era quantum-assisted machine learning models.
  • Oversee the development of cognitive frameworks for autonomous decision-making systems in high-stakes environments.
  • Collaborate with cross-functional teams to integrate ethical AI guidelines and safety protocols into core infrastructure.
  • Mentor a team of elite engineers and researchers in next-generation deep learning methodologies.
  • Optimize data pipelines for real-time processing of petabyte-scale datasets.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, or a related technical field.
  • 10+ years of experience in AI/ML, with at least 5 years in a lead architect or principal engineering role.
  • Deep proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of deploying Large Language Models (LLMs) and Generative Adversarial Networks (GANs) at scale.
  • Strong understanding of data privacy, security, and algorithmic bias mitigation.
  • Experience with cloud infrastructure (AWS, GCP) and containerization (Kubernetes, Docker).

Required Skills

Python PyTorch TensorFlow Quantum Computing NLP Machine Learning Cloud Architecture AI Ethics Neural Networks

Ready to Take This Challenge?

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