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Senior AI Architect | 2026 Division | San Francisco, CA

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Chronos Dynamics is looking for a visionary Senior AI Architect to lead our 2026 Division. We are redefining the boundaries of artificial intelligence, focusing on next-generation predictive modeling and temporal data processing.

In this pivotal role, you will be responsible for architecting the core infrastructure of our future-ready neural networks. You will not just be writing code; you will be designing the logical frameworks that will drive our products for the next decade. We are seeking a thought leader who thrives in ambiguity and possesses a deep understanding of the intersection between deep learning and high-performance computing.

Key Highlights:

  • Lead the R&D for our flagship 2026 roadmap.
  • Work in a high-impact, remote-first environment with top-tier talent.
  • Competitive compensation and equity package.

Responsibilities

  • Design and implement scalable machine learning pipelines using Python, C++, and Rust.
  • Lead the architectural strategy for deep learning models, ensuring scalability and fault tolerance.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Optimize neural network performance for real-time data ingestion and processing.
  • Establish and enforce coding standards, review code, and conduct technical mentoring.
  • Stay ahead of the curve on emerging AI technologies and research papers.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Strong proficiency in cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes).
  • Experience with quantum computing concepts or high-performance computing is a strong plus.
  • Demonstrated ability to lead teams and drive technical decisions.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning System Architecture Kubernetes Docker

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