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Senior Next-Gen AI Architect

Chronos Systems
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Senior Next-Gen AI Architect to lead our R&D division into the uncharted territories of artificial intelligence. At Chronos Systems, we aren't just building software; we are architecting the cognitive frameworks that will define the era of 2026 and beyond. You will be at the forefront of integrating deep learning with predictive behavioral modeling, working on projects that push the boundaries of what is possible in human-computer interaction.

Why Join Us?

  • Work on cutting-edge projects that shape the future of global technology.
  • Competitive equity package and a culture of radical innovation.
  • Flexible remote-first policy with a premium hub in the heart of San Francisco.

Responsibilities

  • Design and implement scalable neural network architectures for next-generation predictive AI systems.
  • Lead the migration of legacy models to advanced transformer-based frameworks optimized for real-time processing.
  • Collaborate with cross-functional teams of data scientists, engineers, and product designers to define technical roadmaps.
  • Conduct rigorous testing of AI ethics and bias mitigation protocols to ensure responsible deployment.
  • Optimize system latency and throughput for high-volume data streams in cloud environments.
  • Mentor junior architects and foster a culture of continuous learning and technical excellence.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of professional experience in machine learning engineering and deep learning frameworks (TensorFlow, PyTorch).
  • Proven track record of deploying large-scale AI models to production environments.
  • Strong proficiency in Python, C++, and distributed computing systems (Kubernetes, AWS, GCP).
  • Experience with Natural Language Processing (NLP) and Computer Vision technologies.
  • Demonstrated ability to translate complex technical concepts into actionable business strategies.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow Deep Learning Cloud Architecture Kubernetes AWS Data Science

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