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Senior AI Infrastructure Lead (2026 Vision)

Chronos Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of the future? Chronos Future Tech is seeking a visionary Senior AI Infrastructure Lead to spearhead our 2026 Vision initiatives.

In this pivotal role, you will architect the next generation of predictive AI systems designed to operate seamlessly in the year 2026 and beyond. You will bridge the gap between theoretical machine learning models and scalable, production-ready infrastructure that powers autonomous decision-making.

We are looking for a leader who is obsessed with performance, ethical AI compliance, and the seamless integration of emerging technologies.

Why join us? We are building the core of tomorrow's digital world. You will have the autonomy to shape technical strategy and the resources to execute on a massive scale.

Responsibilities

  • Design and deploy scalable neural network architectures for the 2026 autonomous systems roadmap.
  • Optimize data pipelines to handle real-time predictive analytics at massive scale.
  • Lead a cross-functional team of engineers and data scientists to implement rigorous ethical AI frameworks.
  • Collaborate with product leadership to translate futuristic concepts into concrete technical specifications.
  • Ensure system resilience, high availability, and low-latency performance across distributed cloud environments.
  • Research and integrate cutting-edge technologies to stay ahead of the 2026 tech curve.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • 7+ years of experience in backend engineering, machine learning operations, and system architecture.
  • Expert proficiency in Python, C++, and modern deep learning frameworks (PyTorch, TensorFlow).
  • Proven track record of designing and managing microservices in AWS, GCP, or Azure.
  • Strong understanding of distributed systems, Kubernetes, and containerization.
  • Experience with NLP and Generative AI models is highly preferred.

Required Skills

Python TensorFlow AWS Kubernetes Machine Learning AI System Architecture Distributed Systems Data Pipelines

Ready to Take This Challenge?

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