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Lead AI Architect (2026 Vision)

Zai Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to architect the future of intelligence?

At Zai Systems, we are building the core infrastructure for the 2026 era of computing. We are looking for a visionary Lead AI Architect to spearhead the development of next-generation generative AI models and neuromorphic computing solutions. If you thrive on solving unsolved problems and pushing the boundaries of what is possible with Artificial General Intelligence (AGI), this is your calling.

In this role, you won't just maintain systems; you will define the architectural paradigms that will power the world for the next decade. You will work at the intersection of deep learning, quantum algorithms, and scalable distributed systems.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI infrastructure capable of handling petabyte-scale data streams for 2026 workloads.
  • Algorithm Innovation: Lead R&D initiatives into Generative AI 2.0, focusing on efficiency, reasoning, and multimodal capabilities.
  • Quantum Integration: Oversee the integration of quantum computing protocols into classical AI pipelines to solve complex optimization problems.
  • Team Mentorship: Cultivate a high-performance engineering culture, mentoring junior architects and senior developers alike.
  • Strategic Vision: Collaborate with C-level executives to define the technical roadmap and product vision for future AI products.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior AI/ML architecture role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, and C++ for high-performance computing.
  • Domain Knowledge: Proven experience with Large Language Models (LLMs), Reinforcement Learning, and neuromorphic computing concepts.
  • Problem Solving: Exceptional ability to debug complex distributed systems and optimize model inference latency.

Required Skills

Python TensorFlow PyTorch C++ Distributed Systems Generative AI Machine Learning Quantum Computing System Architecture AWS Kubernetes

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