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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

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

Job Description

We are on the precipice of a new era in computing. At Chronos Systems, we are building the infrastructure for the year 2026 and beyond. As a Senior AI Architect, you will not just write code; you will architect the cognitive frameworks that define the next generation of autonomous systems. We are looking for visionary leaders who can bridge the gap between theoretical artificial general intelligence and practical, scalable enterprise solutions.

Join us in shaping the future of technology. If you are passionate about the trajectory of AI and want to leave a mark on history, this is your opportunity.

Why Join Us?

  • Work on cutting-edge Agentic AI frameworks.
  • Competitive equity package and comprehensive benefits.
  • Collaborate with world-class researchers and engineers.
  • Shape the roadmap for autonomous decision-making systems.

Responsibilities

  • Design and implement scalable, high-performance AI architectures for the 2026 product roadmap.
  • Lead the research and development of advanced neural network models, including Transformers and generative adversarial networks.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Ensure ethical AI practices and mitigate bias in algorithmic decision-making processes.
  • Mentor junior engineers and define technical best practices for the machine learning department.
  • Optimize existing models for latency, throughput, and resource efficiency in cloud environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5 years of professional experience in machine learning engineering and deep learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with distributed computing systems (e.g., Kubernetes, Apache Spark).
  • Proven track record of deploying large-scale ML models to production environments.
  • Experience with LLMs, NLP, and reinforcement learning is highly preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Distributed Systems Kubernetes Cloud Computing NLP AI Architecture

Ready to Take This Challenge?

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