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Senior AI Architect (2026 Vision)

Zai Corp
New York
Estimated Salary
USD 200.000 – USD 290.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to join our elite engineering team in New York. As we accelerate towards the 2026 technological horizon, Zai Corp is pioneering next-generation Autonomous Agent Systems and Generative AI solutions. If you are passionate about the future of Artificial General Intelligence (AGI) and want to build the infrastructure that powers the world's most advanced AI models, this is your opportunity to lead.

In this role, you will bridge the gap between theoretical research and production-grade deployment, architecting scalable neural networks that redefine human-computer interaction.

Responsibilities

  • Architect Scalable AI Systems: Design and implement high-performance machine learning infrastructure capable of handling billions of parameters in real-time.
  • Model Optimization: Fine-tune and optimize Large Language Models (LLMs) and diffusion models for latency, throughput, and cost-efficiency.
  • MLOps Implementation: Build and maintain CI/CD pipelines for AI, ensuring reproducibility and automated scaling across cloud environments (AWS/GCP).
  • R&D Leadership: Conduct cutting-edge research into emerging AI paradigms, including Reinforcement Learning from Human Feedback (RLHF) and Multi-Agent Orchestration.
  • Code Review & Mentorship: Provide technical guidance to junior engineers and data scientists, fostering a culture of innovation and excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related quantitative field with a focus on AI/ML.
  • Technical Expertise: Deep proficiency in Python, PyTorch, TensorFlow, and C++.
  • Experience: 5+ years of professional experience in building and deploying production-level AI models.
  • Domain Knowledge: Strong understanding of transformer architectures, attention mechanisms, and vector databases.
  • Problem Solving: Ability to tackle complex mathematical and engineering challenges with innovative solutions.

Required Skills

Python PyTorch TensorFlow MLOps AWS GCP LLMs Generative AI Deep Learning Machine Learning Engineering

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