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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect

2026 Systems
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to define the next decade of intelligent computing? At 2026 Systems, we are not just preparing for the future; we are building it. We are seeking a visionary Principal AI Architect to spearhead the development of our proprietary Generative AI ecosystem.

We are looking for a leader who thrives on ambiguity and complexity. In this role, you will be responsible for the end-to-end lifecycle of our AI infrastructure, from theoretical research to high-scale production deployment. You will collaborate with world-class engineers to solve unsolved problems in neural networks and distributed systems.

Responsibilities

  • Lead the architectural design and implementation of next-generation LLMs and neural networks.
  • Define the technical roadmap for our 2026 product suite, ensuring scalability and performance.
  • Oversee MLOps strategies to automate model training, validation, and deployment.
  • Establish governance frameworks for AI ethics, bias mitigation, and regulatory compliance.
  • Mentor senior engineering talent and foster a culture of technical excellence.
  • Partner with product leadership to translate advanced research into customer-facing features.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering with a strong focus on machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Proven experience designing scalable systems on cloud platforms (AWS, GCP, or Azure).
  • Deep understanding of NLP, Deep Reinforcement Learning, or Computer Vision.
  • Exceptional leadership skills with a track record of managing high-performance engineering teams.

Required Skills

Python Machine Learning MLOps AI Architecture TensorFlow PyTorch NLP Cloud Computing Distributed Systems

Ready to Take This Challenge?

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