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Senior AI Architect - 2026 Trajectory

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the development of next-generation artificial intelligence systems. At Chronos Dynamics, we are building the foundational infrastructure for the future of technology, targeting breakthroughs in autonomous agents and generative synthesis by 2026.

As a key member of our elite R&D team, you will bridge the gap between theoretical research and scalable production systems. You will be responsible for designing architectures that are not only robust today but are also adaptable to the rapid evolution of AI paradigms in the coming years.

Why Join Us?
We offer a competitive salary, equity package, and the opportunity to work on projects that will define the technological landscape of the next decade. You will work in a collaborative, high-performance environment that values innovation and technical excellence.

Responsibilities

  • Architect and deploy scalable, high-performance machine learning models suitable for production environments.
  • Lead the research and implementation of cutting-edge AI paradigms, including Large Language Models (LLMs) and reinforcement learning agents.
  • Design system architectures that are quantum-ready and capable of handling petabyte-scale data processing.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into viable products.
  • Establish best practices for model training, evaluation, and deployment within the organization.
  • Mentor junior engineers and contribute to the technical roadmap of the AI division.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of designing distributed systems and cloud-native applications (AWS, GCP, or Azure).
  • Strong understanding of data structures, algorithms, and system optimization techniques.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems AWS GCP System Architecture Data Structures

Ready to Take This Challenge?

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