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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect: 2026 Strategic Initiative

Chronos 2026
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Chronos 2026 is seeking a visionary Principal AI Architect to lead our flagship project aimed at defining the technological standards of 2026. In this role, you will bridge the gap between theoretical artificial intelligence and practical, scalable applications that will impact millions globally.

We are a forward-thinking collective of engineers, futurists, and designers dedicated to solving humanity's most complex challenges through advanced computation. We offer a competitive benefits package, including equity options, remote-first flexibility, and continuous professional development.

Responsibilities

  • Design and implement scalable machine learning pipelines and neural network architectures for real-time processing.
  • Lead the technical strategy for the '2026 Horizon' initiative, ensuring alignment with long-term business goals.
  • Collaborate with cross-functional teams to integrate AI models into consumer-facing products and enterprise solutions.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Optimize algorithms for high-velocity data environments and low-latency performance.
  • Conduct rigorous testing and validation to ensure system reliability and security.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Minimum of 8 years of experience in AI/ML engineering, with at least 3 years in a leadership capacity.
  • Deep expertise in Python, TensorFlow, PyTorch, and C++.
  • Proven track record of deploying production-grade AI systems at scale.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in fast-paced environments.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing System Design Kubernetes Docker AWS

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