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Lead AI Architect: Future Systems 2026

ZAI Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems? ZAI Technologies is seeking a visionary Lead AI Architect to spearhead our roadmap for 2026 and beyond.

We are building the next generation of autonomous agents and quantum-integrated neural networks. In this role, you won't just maintain existing systems; you will define the architectural paradigms that will power enterprise solutions for the next decade.

Why join us? We offer unparalleled autonomy, top-tier research resources, and a mission-driven culture focused on solving humanity's most complex challenges through advanced AI.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure for high-traffic applications.
  • Lead the architectural vision for emerging technologies, including Generative AI and Neural Symbolic Integration.
  • Conduct deep-dive research to evaluate and integrate cutting-edge frameworks and hardware accelerators.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with product stakeholders to translate complex business requirements into robust technical roadmaps.
  • Optimize model inference latency and reduce operational costs through architectural innovation.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
  • Proven track record of leading cross-functional teams and delivering production-grade AI systems.
  • Strong analytical skills with the ability to troubleshoot complex system-level issues.

Required Skills

Python TensorFlow PyTorch Cloud Architecture Kubernetes Machine Learning AI San Francisco Data Science

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