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Director of Future-Ready AI Systems (2026 Niche)

Zai Corporation
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Architecting the Digital Reality of 2026.

At Zai Corporation, we are not just building software; we are architecting the digital reality of 2026. We are seeking a visionary Director of Future-Ready AI Systems to lead our next-generation Neural-Quantum integration initiatives. If you thrive on solving the unsolvable and defining the roadmap for the next decade of technology, this is your stage.

As a key leader in our specialized 2026 Niche division, you will bridge the gap between theoretical artificial general intelligence (AGI) and practical, scalable enterprise deployment. You will oversee a team of elite engineers working on predictive algorithms, autonomous agents, and quantum-enhanced data processing to prepare our infrastructure for the future.

Responsibilities

  • Lead the strategic roadmap for AI systems designed to function in the 2026 technological landscape, integrating quantum supremacy principles into standard computing architectures.
  • Architect and optimize Large Language Models (LLMs) specifically tailored for high-frequency, low-latency trading and autonomous logistics.
  • Establish ethical frameworks and governance protocols for autonomous decision-making systems to ensure compliance with evolving global regulations.
  • Collaborate with cross-functional teams to deploy "Edge AI" solutions that process data in real-time at the device level.
  • Mentor senior engineering talent and define the technical culture for our San Francisco innovation hub.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field with a focus on theoretical physics or mathematics.
  • Minimum of 7 years of experience in leading AI/ML engineering teams, with at least 3 years specifically focused on Generative AI and Neural Networks.
  • Deep understanding of quantum computing concepts (Qiskit, Cirq) and their practical application to classical machine learning problems.
  • Proven track record of deploying scalable systems handling petabytes of data with sub-millisecond latency.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders and investors.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning System Architecture Leadership Generative AI

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