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Lead AI Visionary (2026 Strategy) - San Francisco

Chronos Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future? Chronos Technologies is on a mission to redefine the technological landscape for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our next-generation neural infrastructure initiatives. In this pivotal role, you won't just write code; you will design the cognitive backbone of our ecosystem, blending generative AI with quantum-ready systems to solve humanity's most complex challenges.

Why join us? We offer a competitive compensation package, equity options, and an environment that fosters radical innovation. If you are passionate about the intersection of human intelligence and machine evolution, we want to hear from you.

Responsibilities

  • Architect Next-Gen Systems: Design and deploy scalable AI infrastructure capable of handling petabyte-scale data streams with zero latency.
  • Strategic Roadmapping: Define the technical roadmap for 2026, integrating emerging technologies like neuromorphic computing and advanced NLP models.
  • Model Optimization: Lead the research and implementation of proprietary Large Language Models (LLMs) tailored for enterprise deployment.
  • Team Leadership: Mentor a high-performing team of data scientists and engineers, fostering a culture of technical excellence and continuous learning.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate complex 2026 strategic goals into executable technical roadmaps.
  • Security & Ethics: Implement robust security protocols and ethical guidelines to ensure responsible AI development.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 3 years in a senior leadership role within AI/ML.
  • Technical Stack: Proficiency in Python, Rust, and distributed systems (Kubernetes, Docker). Experience with PyTorch or TensorFlow is essential.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Innovation Mindset: A proven track record of delivering innovative solutions in high-pressure environments.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Future-Ready: Deep understanding of upcoming trends in the 2026 tech landscape, including Edge AI and Quantum Computing integration.

Required Skills

Python Rust Kubernetes PyTorch Distributed Systems AI Strategy Machine Learning System Architecture

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