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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect at 2026

2026 Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027



Job Description

Are you ready to architect the next generation of autonomous intelligence? 2026 Inc. is seeking a visionary Lead AI Architect to spearhead our research into predictive neural networks and ethical synthetic cognition.

At 2026, we aren't just building software; we are engineering the fabric of the future. Working in our state-of-the-art San Francisco headquarters, you will bridge the gap between theoretical research and scalable production systems. This is a unique opportunity to define the standards of AI safety and scalability in a high-growth environment.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive compensation package including equity and comprehensive benefits.
  • Flexible remote-first policy with a vibrant office culture in the heart of SF.

Responsibilities

  • Design, develop, and deploy scalable machine learning pipelines and deep learning models.
  • Lead a cross-functional team of data scientists, engineers, and researchers.
  • Ensure all AI systems adhere to strict ethical guidelines, transparency standards, and security protocols.
  • Collaborate with product leadership to translate complex technical requirements into user-centric solutions.
  • Optimize existing models for performance, latency, and cost-efficiency in cloud environments.
  • Stay at the forefront of AI research and implement best practices for MLOps.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 10+ years of professional experience in AI/ML engineering, with at least 3 years in a leadership or architect role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Proven track record of delivering production-ready AI systems that handle high-scale data.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture MLOps NLP AWS GCP

Ready to Take This Challenge?

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