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Lead AI Architect - Project 2026 | San Francisco

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Architecting the Future of Intelligence

Chronos Dynamics is pioneering the next generation of autonomous systems. We are looking for a visionary Lead AI Architect to spearhead Project 2026, a high-stakes initiative designed to redefine the boundaries of artificial general intelligence.

Why This Role?

You will operate at the intersection of theoretical research and production engineering. We offer a competitive compensation package, equity packages, and the unparalleled opportunity to build systems that will shape the decade ahead. If you are driven by complexity and possess a passion for pushing the limits of what machines can learn, we want to hear from you.

Responsibilities

  • Design and implement scalable, fault-tolerant neural network architectures for long-term autonomous decision-making.
  • Lead the technical strategy for Project 2026, defining roadmaps and architectural standards for the engineering team.
  • Optimize model inference performance and training efficiency on distributed cloud infrastructure.
  • Mentor senior engineers and conduct code reviews to ensure technical excellence and adherence to best practices.
  • Collaborate with product leadership to translate complex scientific requirements into robust engineering solutions.
  • Stay at the forefront of AI research, evaluating and integrating cutting-edge methodologies into our core stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in machine learning engineering, with at least 5 years in a leadership or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven track record of deploying production-grade AI models at scale.
  • Experience with LLM fine-tuning, RAG pipelines, and reinforcement learning.
  • Strong grasp of system design principles and cloud-native technologies (AWS, GCP, or Azure).

Required Skills

Python PyTorch Machine Learning System Design Distributed Systems AWS Cloud Computing Neural Networks Leadership

Ready to Take This Challenge?

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