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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

2026
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

At 2026, we are not just predicting the future; we are engineering it. We are a visionary technology firm dedicated to pushing the boundaries of artificial intelligence, quantum computing, and next-gen human-machine interfaces. As we prepare to launch our flagship autonomous systems in late 2025, we are seeking a visionary Senior AI Architect to lead our core research and infrastructure division.


If you are passionate about building systems that think, adapt, and scale, and you thrive in a fast-paced, high-performance environment, we want to meet you.


Why Join Us?

  • Impactful Work: Directly influence the architecture of AI systems used by millions.
  • Future-Ready: Work on bleeding-edge technologies that will define the decade.
  • Competitive Compensation: Top-tier salary, equity packages, and comprehensive benefits.

Responsibilities

  • Design and architect scalable, fault-tolerant machine learning pipelines and deep learning models.
  • Lead the technical strategy for our AI infrastructure, ensuring high availability and performance.
  • Collaborate with product managers and engineers to translate business requirements into technical solutions.
  • Mentor and guide a team of talented data scientists and ML engineers.
  • Stay ahead of the curve in AI research, integrating the latest advancements into our production stack.
  • Optimize existing models for inference speed and resource efficiency.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in a dynamic, ambiguous environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Kubernetes NLP Computer Vision Cloud Architecture AI Engineering

Ready to Take This Challenge?

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

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