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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Architect (2026 Vision)

Horizon Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to define the technological landscape of the future? Horizon Systems Inc. is seeking a visionary Lead AI & Quantum Architect to spearhead our 2026 roadmap. In this pivotal role, you will bridge the gap between classical machine learning and next-generation quantum computing architectures, ensuring our solutions remain at the forefront of innovation.

We are looking for a technical leader who is passionate about solving complex problems and building scalable systems. You will work directly with C-level executives to define the technical vision for our enterprise AI suite.

Responsibilities

  • Architect & Deploy: Design and implement scalable quantum-classical hybrid algorithms and neural networks.
  • Strategic Leadership: Lead a team of 5+ senior engineers in building the core infrastructure for the 2026 AI platform.
  • Innovation: Research and integrate emerging AI technologies to maintain a competitive edge.
  • Optimization: Collaborate with data scientists to optimize model performance on high-performance computing clusters.
  • Scalability: Ensure system architecture supports high throughput, low latency, and seamless scalability.
  • Mentorship: Foster a culture of technical excellence and continuous learning within the engineering department.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field.
  • Experience: 10+ years of experience in AI/ML engineering, software architecture, or quantum computing.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks (e.g., Qiskit, Cirq).
  • Leadership: Proven track record of leading high-performance engineering teams in a fast-paced, agile environment.
  • Problem Solving: Deep understanding of distributed systems, cloud architecture, and system optimization.
  • Communication: Exceptional ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Python Quantum Computing Machine Learning System Architecture TensorFlow PyTorch Leadership Cloud Computing Neural Networks

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