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Information Technology 🏢 Full Time ⭐️ Verified

Chief AI Architect

2026
San Francisco
Estimated Salary
USD 200.000 – USD 350.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

The Future is Now at 2026

At 2026, we are not just predicting the future; we are engineering it. We are seeking a visionary Chief AI Architect to lead our elite engineering division. You will be responsible for designing and implementing the next generation of autonomous systems that will redefine the boundaries of human-machine interaction. If you are a technical leader who thrives in ambiguity and wants to build the infrastructure for tomorrow, this is your stage.

Why Join 2026?

  • Work on cutting-edge projects that impact millions globally.
  • Competitive compensation package and equity options.
  • Unlimited PTO and a remote-first culture that values output over hours.
  • Access to state-of-the-art hardware and research facilities.

Responsibilities

  • Architect and oversee the end-to-end AI infrastructure strategy for the organization.
  • Lead a team of world-class data scientists and ML engineers to deploy scalable machine learning models.
  • Define technical roadmaps for AI adoption and innovation across product lines.
  • Collaborate with cross-functional teams (Product, Design, Business) to translate complex requirements into technical solutions.
  • Ensure system reliability, security, and ethical AI compliance in all deployments.
  • Mentor junior engineers and foster a culture of continuous learning and technical excellence.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven track record of leading high-performance engineering teams.
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure).
  • Strong mathematical background in statistics, linear algebra, and optimization.
  • Experience with Large Language Models (LLMs) and Generative AI technologies.
  • Bachelor’s degree in Computer Science, Mathematics, or related field; Master’s or Ph.D. preferred.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch AWS GCP Cloud Architecture Leadership System Design

Ready to Take This Challenge?

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