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Senior AGI Architect (Project 2026)

Chronos Systems
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join Chronos Systems, a pioneer in next-generation intelligence, as we accelerate toward our Project 2026 vision. We are building the foundational architectures for Artificial General Intelligence that will redefine human-machine interaction. If you are a visionary engineer passionate about pushing the boundaries of what AI can achieve, we want you on our team.

In this role, you will lead the design and implementation of scalable, self-improving AI systems. You will work directly with top-tier researchers and engineers to solve complex problems in reasoning, perception, and multi-modal learning.

Why Chronos Systems?

  • Work on the bleeding edge of AI development.
  • Competitive equity and a $200k - $300k salary package.
  • Flexible remote-first culture with a hub in San Francisco.

Ready to shape the future? Apply today.

Responsibilities

  • Design and architect scalable, robust AI systems capable of general-purpose reasoning and autonomous learning.
  • Lead the technical roadmap for Project 2026, ensuring alignment with long-term strategic goals.
  • Implement and optimize deep learning models (Transformers, GNNs) for high-performance inference.
  • Collaborate with cross-functional teams including researchers, product managers, and data scientists.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous testing and validation to ensure safety, reliability, and ethical deployment of AI models.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Minimum of 8 years of experience in software engineering and machine learning research.
  • Proven expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong background in natural language processing (NLP), computer vision, or reinforcement learning.
  • Experience designing distributed systems for training large-scale models.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Distributed Systems Reinforcement Learning System Architecture

Ready to Take This Challenge?

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

Apply Now

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