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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligent systems? 2026 Labs is on a mission to redefine human-machine interaction by 2026. We are seeking a visionary Senior AI Architect to lead our next-generation research and deployment initiatives.

In this pivotal role, you won't just write code; you will build the foundational models that power the next decade of innovation. You will work in a fast-paced, high-impact environment alongside world-class engineers and researchers to solve complex problems at scale.

Why Join Us?
We offer top-tier compensation, equity packages, and the opportunity to work on cutting-edge technology that will shape the future of the industry.

Responsibilities

  • Design and implement scalable machine learning pipelines and deep learning architectures for large-scale applications.
  • Lead Research and Development (R&D) efforts to push the boundaries of Natural Language Processing (NLP) and Computer Vision.
  • Optimize model performance, latency, and accuracy for production environments using advanced training techniques.
  • Collaborate with cross-functional product and engineering teams to translate business requirements into robust AI technical solutions.
  • Stay at the forefront of AI advancements, specifically in Large Language Models (LLMs) and generative AI technologies.
  • Mentor junior engineers and establish best practices for model governance and deployment.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 7+ 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, or JAX.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying high-scale, high-availability ML models to production.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch NLP Computer Vision AWS GCP Kubernetes Docker

Ready to Take This Challenge?

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

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