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AI Architect (2026 Era) - San Francisco

Chronos Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Architecting the Future of Intelligence

At Chronos Systems, we are not just building software for today; we are engineering the foundational architecture for the 2026 Era. We are looking for a visionary AI Architect to lead our next-generation autonomous systems initiative. If you thrive in ambiguity and are passionate about pushing the boundaries of generative AI, large-scale inference, and cognitive computing, we want to meet you.

Join a team of world-class engineers and researchers dedicated to solving the most complex challenges in artificial general intelligence (AGI) readiness.

Responsibilities

  • Lead the 2026 Roadmap: Define and execute the architectural vision for our proprietary 2026 Era AI platform, ensuring scalability and future-proofing.
  • Design Neural Architectures: Spearhead the design of complex neural network topologies optimized for real-time learning and inference.
  • Infrastructure Optimization: Oversee the deployment of high-performance computing clusters to support massive model training and fine-tuning.
  • Cross-Functional Leadership: Collaborate with product and engineering teams to translate advanced AI concepts into deployable, user-centric solutions.
  • Security & Compliance: Implement robust security protocols to protect proprietary data and ensure ethical AI standards.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • Experience: 7+ years of experience in software engineering, with at least 4 years focused on AI/ML infrastructure.
  • Technical Stack: Deep expertise in PyTorch, TensorFlow, or JAX; proficiency in distributed systems (Kubernetes, Docker); experience with cloud platforms (AWS/GCP/Azure).
  • Future-Forward Mindset: Demonstrated ability to anticipate industry trends and architect systems capable of evolving rapidly.
  • Problem Solving: Proven track record of solving critical technical challenges in high-load environments.

Required Skills

Python Machine Learning Deep Learning PyTorch Kubernetes AWS Distributed Systems System Architecture

Ready to Take This Challenge?

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