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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Chronos AI Labs
Seattle
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the operating system for the year 2026. Join our elite team of engineers and data scientists to pioneer the next generation of autonomous agents, predictive intelligence, and futuristic web ecosystems.

As a Senior AI Architect, you will define the technical roadmap for our flagship platform, ensuring scalability and innovation that meets the demands of the near-future digital landscape.

Responsibilities

  • Architect Solutions: Design and implement scalable deep learning models and neural architectures tailored for high-velocity data environments.
  • Technical Leadership: Mentor junior engineers and drive technical decision-making across the R&D team.
  • Optimization: Engineer high-performance systems capable of processing exabytes of data in real-time.
  • Innovation: Stay ahead of industry trends to integrate emerging technologies (e.g., generative AI, quantum computing interfaces) into our core products.
  • Deployment: Oversee the CI/CD pipeline and ensure robust production deployment strategies.
  • Collaboration: Partner with product managers and UX designers to translate complex algorithms into intuitive user experiences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on large language models or computer vision.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure.
  • Problem Solving: Demonstrated ability to tackle complex, ambiguous problems with innovative solutions.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP AI Architecture

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