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Lead AI Architect (2026 Vision)

Zai Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to define the technological landscape of 2026. At Zai Horizon, we are building the next generation of autonomous systems and generative AI infrastructure. We are looking for a visionary Lead AI Architect who doesn't just write code, but architects the future of human-machine interaction.

In this high-impact role, you will lead a cross-functional squad in deploying large-scale neural networks, optimizing AI inference at the edge, and pioneering ethical AI frameworks. If you are ready to push the boundaries of what is possible today for the world of tomorrow, we want to meet you.

Responsibilities

  • Architect and deploy scalable, high-performance machine learning pipelines using Python and modern cloud infrastructure.
  • Lead the research and development of cutting-edge generative models, focusing on efficiency and multimodal capabilities.
  • Define technical roadmaps and best practices for AI engineering within the organization.
  • Mentor and grow a team of senior data scientists and AI engineers, fostering a culture of innovation and continuous learning.
  • Collaborate with product and engineering leadership to translate business requirements into robust technical solutions.
  • Ensure model fairness, transparency, and security in alignment with global AI regulations.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow) and distributed computing systems.
  • Proven track record of deploying production-grade ML models handling terabytes of data.
  • Strong leadership skills with experience managing high-performance engineering teams.
  • Experience with AI ethics, bias mitigation, and responsible AI governance.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Machine Learning Deep Learning NLP Computer Vision Leadership

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