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Senior AI Architect - 2026 Technologies

2026 Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are 2026 Technologies, a pioneering force in the artificial intelligence sector. We are building the foundational infrastructure for the next generation of autonomous systems and neural interfaces. We are seeking a visionary Senior AI Architect to join our elite team in San Francisco.

In this role, you will be responsible for architecting scalable, fault-tolerant machine learning systems that power our core products. You will bridge the gap between theoretical research and production-grade engineering, ensuring our AI models deliver real-world impact at scale.

Why Join Us?

  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation and equity packages.
  • Remote-first culture with a collaborative office environment.

Are you ready to shape the future of technology?

Responsibilities

  • Design and implement high-level architectural strategies for large-scale machine learning and data processing systems.
  • Lead the development of proprietary algorithms and optimize existing models for speed and accuracy.
  • Collaborate with product managers and researchers to define technical requirements and roadmap.
  • Mentor junior engineers and conduct rigorous code reviews to maintain engineering excellence.
  • Ensure system scalability, security, and compliance with industry standards.
  • Stay abreast of the latest advancements in AI, deep learning, and distributed computing.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 7 years of experience in software engineering and machine learning.
  • Deep expertise in Python, C++, and at least one major deep learning framework (PyTorch or TensorFlow).
  • Proven track record of deploying large-scale ML models into production environments.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps.
  • Experience with vector databases and semantic search technologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems MLOps AWS System Design Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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