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Lead AI Architect at 2026 | San Francisco, CA

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to architect the future? 2026 is at the forefront of next-generation predictive intelligence and neural simulation. We are not just predicting the year 2026; we are building the infrastructure to define it. We are seeking a visionary Lead AI Architect to spearhead our core algorithmic development.

In this role, you will lead a world-class engineering team in designing scalable, secure, and high-performance machine learning systems. You will work directly with C-level executives to turn theoretical concepts into production-ready solutions that power our global platform.

Why join 2026?

  • Impact: Shape the fundamental architecture of the AI revolution.
  • Equity: Competitive equity package in a high-growth unicorn.
  • Flexibility: Remote-first culture with top-tier equipment.

Responsibilities

  • Architectural Leadership: Design and implement the core machine learning infrastructure for our proprietary prediction engine.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Algorithm Optimization: Push the boundaries of computational efficiency to handle real-time, massive-scale data streams.
  • Strategic Collaboration: Partner with product and research teams to define technical roadmaps and translate business goals into technical solutions.
  • R&D Integration: Stay ahead of the curve by integrating cutting-edge research (e.g., Transformers, GANs) into our production stack.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 7+ years of software engineering experience, with at least 3 years in a Lead or Staff Engineering role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed systems.
  • Cloud Expertise: Deep experience deploying and managing ML workloads on AWS, GCP, or Azure.
  • System Design: Proven track record of designing scalable, fault-tolerant systems under high load.

Required Skills

Python Machine Learning System Design AWS PyTorch TensorFlow Leadership

Ready to Take This Challenge?

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