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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: Shaping the Future of 2026

Chronos Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join the Vanguard of Technological Evolution.

Chronos Dynamics is at the forefront of defining the digital landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead the development of our next-generation autonomous systems and quantum-ready machine learning frameworks. If you are passionate about building the infrastructure that powers tomorrow's intelligence, we want to hear from you.

In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will lead a world-class team of engineers in deploying cutting-edge neural networks that redefine efficiency and capability.

Responsibilities

  • Architect and design scalable AI infrastructure capable of handling high-throughput data streams for 2026 applications.
  • Lead the technical vision for integrating quantum computing primitives with classical machine learning models.
  • Optimize deep learning algorithms for edge devices and cloud environments, ensuring minimal latency and maximum throughput.
  • Collaborate with cross-functional product teams to translate complex business requirements into robust technical solutions.
  • Mentor junior engineers and foster a culture of innovation, code quality, and continuous learning.
  • Stay ahead of emerging trends in AI, ensuring Chronos Dynamics remains the industry leader in predictive technology.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of mathematical foundations, including linear algebra, calculus, and probability theory.
  • Demonstrated leadership experience in managing engineering teams and driving project timelines.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch Cloud Architecture Distributed Systems Quantum Computing Leadership

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