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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Principal AI Architect: The 2026 Initiative

Chronos Future Labs
San Francisco
Estimated Salary
USD 210.000 – USD 300.000
New
Live Update
13 Juli 2026
Deadline
13 Jul 2027

Job Description

We are building the world's most advanced predictive simulation of the year 2026. Chronos Future Labs is seeking a visionary Principal AI Architect to lead our core engine development. If you are passionate about shaping the future of technology and have the expertise to build systems that predict and simulate complex global events, we want to meet you.


Join a team of elite engineers, data scientists, and futurists dedicated to creating the digital twin of our future. This is a rare opportunity to define the architectural standards for the next generation of predictive modeling.

Responsibilities

  • Lead Architecture: Design and implement scalable, high-performance neural networks for our 2026 simulation engine.
  • Model Optimization: Optimize deep learning models to run efficiently in real-time environments with billions of data points.
  • Team Leadership: Mentor a team of 8+ senior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Research & Development: Stay at the forefront of AI trends, integrating cutting-edge advancements into our core product.
  • System Integration: Integrate disparate data streams (financial, climate, social) into a cohesive simulation framework.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in AI/ML, with at least 3 years in a senior leadership role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Problem Solving: Proven track record of solving complex, ambiguous technical problems at scale.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning System Architecture Leadership

Ready to Take This Challenge?

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