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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect

Chronos Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to build the infrastructure for the future? Chronos Dynamics is seeking a visionary Senior AI Infrastructure Architect to lead our 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production environments, ensuring our systems are robust, efficient, and future-proof.

We are looking for a technical leader who isn't just keeping up with trends but is defining them. Join a team dedicated to revolutionizing how humanity interacts with intelligent machines.

Responsibilities

  • Architect Scalable AI Systems: Design and deploy high-performance infrastructure for large-scale machine learning models, specifically tailored for the demands of 2026.
  • Optimize Compute Workflows: Implement advanced pipeline optimizations and edge computing solutions to reduce latency and maximize throughput.
  • Hybrid Cloud Strategy: Lead the transition and management of hybrid cloud environments, integrating on-premise quantum computing resources with public cloud APIs.
  • Security & Compliance: Spearhead the implementation of zero-trust security architectures to protect proprietary AI data and algorithms.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.

Qualifications

  • Experience: 5+ years of experience in software engineering, with a strong focus on AI/ML infrastructure.
  • Technical Stack: Proficiency in Python, C++, and experience with major ML frameworks (TensorFlow, PyTorch, JAX).
  • Cloud Mastery: Deep understanding of AWS, GCP, or Azure, including Kubernetes and container orchestration.
  • Problem Solving: Proven ability to solve complex distributed systems problems under high pressure.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python Machine Learning Cloud Architecture Kubernetes TensorFlow AWS C++ Distributed Systems Edge Computing

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