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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect

Zai Core Systems
San Francisco, California
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on a mission to define the future of intelligent systems. As a Senior Generative AI Architect, you will be at the forefront of developing the next generation of Large Language Models (LLMs) and autonomous agents. Join a team of world-class engineers and researchers dedicated to solving the most complex challenges in artificial intelligence for 2026 and beyond.

Why Join Us?

  • Work on cutting-edge Generative AI projects that redefine human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a vibrant office in San Francisco.

Responsibilities

  • Architect and deploy scalable, high-performance Generative AI models tailored for enterprise applications.
  • Lead the research and implementation of Retrieval-Augmented Generation (RAG) pipelines and fine-tuning strategies.
  • Optimize model inference latency and reduce token costs using advanced quantization and distillation techniques.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate closely with product teams to translate technical requirements into production-ready AI solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in building, deploying, and optimizing Large Language Models.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow, Weights & Biases).
  • Proven track record of working with Transformer architectures and state-of-the-art open-source models.
  • Strong understanding of data privacy, security, and ethical AI principles.

Required Skills

Python PyTorch TensorFlow Generative AI LLM Large Language Models RAG Fine-tuning MLOps Machine Learning Deep Learning

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