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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Roadmap

Chronos Future Tech
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Are you ready to architect the future? Chronos Future Tech is seeking a visionary Lead AI Architect to spearhead our 2026 Vision Initiative. In this pivotal role, you will define the core infrastructure for next-generation predictive models and quantum-ready algorithms. We are building the operating system for tomorrow, and we need a technical leader who isn't afraid to push the boundaries of what is possible.

Why join us? We are a remote-first collective of futurists, engineers, and designers committed to solving humanity's grand challenges through advanced technology. You will have the autonomy to shape our technical roadmap and mentor a world-class engineering team.

Responsibilities

  • Define the 2026 Roadmap: Lead the architectural strategy for integrating Generative AI and Quantum computing into our core products.
  • System Design: Design scalable, high-availability systems capable of processing petabytes of real-time data with zero latency.
  • Talent Leadership: Mentor senior engineers and architects, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex requirements into robust technical solutions.
  • Research & Innovation: Stay ahead of industry trends to implement cutting-edge technologies like Neural Interfaces and Edge Computing.
  • Performance Optimization: Continuously optimize algorithms and infrastructure to ensure maximum efficiency and cost-effectiveness.

Qualifications

  • Experience: 7+ years of experience in software engineering, with at least 3 years in a lead or architect role.
  • Technical Expertise: Deep proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Cloud Mastery: Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to solve complex, unstructured problems with innovative architectural solutions.
  • Communication: Superior written and verbal communication skills with the ability to articulate technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Design Cloud Computing AWS Kubernetes TensorFlow Data Science Leadership

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