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Senior AI Systems Architect (Future Tech)

Chronos Systems
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026? Chronos Systems is seeking a visionary Senior AI Systems Architect to lead our groundbreaking research into Quantum-Enhanced Neural Networks and Autonomous Space Exploration. In this pivotal role, you will not just write code; you will architect the digital backbone of humanity's next giant leap. We are looking for a pioneer who thrives in ambiguity and is driven by the challenge of building systems that don't just exist today, but shape tomorrow's reality.

Responsibilities

  • Architect Next-Gen Solutions: Design and implement scalable, high-performance AI architectures focused on future-proofing our core technologies for the 2026 roadmap.
  • Quantum Integration: Collaborate with quantum computing researchers to optimize machine learning algorithms for hybrid classical-quantum environments.
  • System Optimization: Lead initiatives to reduce latency and increase throughput in real-time data processing pipelines for autonomous agents.
  • Mentorship & Culture: Foster a culture of innovation by mentoring junior engineers and conducting advanced technical workshops.
  • Strategic Planning: Define technical roadmaps and evaluate emerging technologies (e.g., Neuromorphic Computing) to maintain a competitive edge.
  • Performance Tuning: Continuously monitor system health and implement deep learning optimizations to ensure 99.99% uptime in mission-critical applications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of professional experience in software engineering and AI system design.
  • Technical Stack: Deep expertise in Python, C++, and TensorFlow or PyTorch frameworks.
  • Quantum Awareness: Demonstrated understanding of quantum computing concepts and their application to machine learning problems.
  • Leadership: Proven track record of leading cross-functional teams in high-pressure, innovative environments.
  • Communication: Exceptional ability to translate complex technical concepts into clear, actionable strategies for stakeholders.

Required Skills

Python TensorFlow PyTorch C++ AWS Machine Learning Deep Learning System Architecture Quantum Computing Leadership

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