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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - The 2026 Initiative

Chronos Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Welcome to Chronos Future Labs. We are pioneering the infrastructure for the year 2026, merging advanced quantum computing with generative AI. We are looking for a visionary Lead AI Architect to spearhead our core research division.


In this role, you will not just build software; you will architect the digital backbone of our future. You will lead a cross-functional team of data scientists and engineers to deploy next-generation neural networks that redefine human-machine interaction.


Why Join Us?

  • Work on cutting-edge projects that define the decade.
  • Competitive compensation and equity packages.
  • Remote-first culture with premium San Francisco amenities.

Responsibilities

  • Architectural Leadership: Design and implement scalable, high-performance AI systems capable of handling petabyte-scale data.
  • Team Management: Mentor senior engineers and guide the technical strategy for the 2026 Initiative.
  • Research & Development: Stay at the forefront of AI evolution, integrating emerging technologies like neuromorphic computing into our stack.
  • System Optimization: Oversee the deployment of models, ensuring low latency and high throughput in production environments.
  • Stakeholder Communication: Translate complex technical concepts into strategic roadmaps for executive leadership.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Tech Stack: Proficiency in Python, C++, and Rust; deep knowledge of PyTorch and TensorFlow.
  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Cloud Expertise: Proven track record of deploying scalable solutions on AWS or Google Cloud Platform.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative technical solutions.

Required Skills

Python C++ TensorFlow PyTorch AWS GCP Kubernetes Machine Learning Deep Learning System Architecture Cloud Computing

Ready to Take This Challenge?

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