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Lead 2026 Horizon AI Architect

Chronos Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to define the technological landscape of 2026? At Chronos Future Labs, we aren't just predicting the future; we are engineering it. We are seeking a visionary Lead 2026 Horizon AI Architect to spearhead the development of next-generation artificial intelligence systems designed to operate in a post-silicon era. This is a high-impact role for a technical leader who thrives on ambiguity and is obsessed with solving humanity's most complex problems through advanced computation.

As a 2026 Architect, you will be at the forefront of the industry, bridging the gap between current deep learning capabilities and the quantum-classical paradigms of the future. You will define the technical roadmap that ensures our platforms remain at the bleeding edge of innovation for the next decade.

Responsibilities

  • Architect and deploy scalable AI infrastructures capable of handling exascale computing requirements.
  • Lead the research and integration of hybrid quantum-classical algorithms to solve optimization problems.
  • Define the technical vision for the '2026 Era', identifying emerging trends in neuromorphic computing and edge AI.
  • Collaborate with cross-functional teams to translate futuristic concepts into production-ready software.
  • Establish best practices for AI safety, ethics, and interpretability in high-stakes environments.
  • Mentor senior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/Physics.
  • 10+ years of experience in software engineering and machine learning architecture.
  • Proven expertise in Python, C++, and specialized quantum computing frameworks (e.g., Qiskit, Cirq).
  • Deep understanding of deep learning architectures, transformer models, and reinforcement learning.
  • Track record of leading engineering teams through complex technical transitions.
  • Exceptional problem-solving skills with a passion for pushing the boundaries of current technology.

Required Skills

Python Quantum Computing Machine Learning C++ Cloud Architecture System Design AI Ethics Neural Networks

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