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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Chronos Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of technology? Chronos Dynamics is seeking a visionary Senior AI Architect to join our elite Project 2026 team. We are building the next generation of autonomous decision-making systems that will revolutionize how industries operate in the coming decade.

In this high-impact role, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You won't just be writing code; you will be architecting the brain of the next era of digital intelligence.

Responsibilities

  • Lead the architectural design and implementation of large-scale Machine Learning models for the Project 2026 initiative.
  • Optimize existing neural networks for speed and efficiency, reducing latency by over 40%.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex AI concepts into user-centric solutions.
  • Conduct research into cutting-edge generative AI techniques to maintain our competitive edge.
  • Establish best practices for MLOps, ensuring robust deployment pipelines and continuous integration.
  • Mentor junior engineers and foster a culture of innovation and technical excellence within the team.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP AWS GCP Docker Kubernetes MLOps

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