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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Systems Architect

Nexus Horizon
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to shape the technological landscape of 2026 and beyond? Nexus Horizon is seeking a visionary Lead AI & Quantum Systems Architect to spearhead our next-generation infrastructure. We are building the future of intelligent computing, and we need a technical leader who can bridge the gap between theoretical AI and practical, scalable engineering.

In this role, you will define the architectural vision for our quantum-ready AI systems. You will lead a world-class team of engineers and researchers, driving innovation in machine learning, quantum algorithms, and distributed cloud systems. This is a high-impact position for a seasoned engineer who wants to leave a lasting legacy.

Responsibilities

  • Architect and oversee the development of scalable AI and quantum computing solutions designed for enterprise scalability.
  • Define the long-term technical roadmap and strategic initiatives to align with our 2026 vision.
  • Lead, mentor, and cultivate a high-performing engineering team focused on technical excellence and rapid prototyping.
  • Collaborate closely with product managers and stakeholders to translate complex business requirements into robust technical designs.
  • Ensure system security, fault tolerance, and high availability across hybrid cloud environments.
  • Research and implement cutting-edge algorithms and quantum computing frameworks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in leading AI/ML or Quantum computing initiatives.
  • Deep proficiency in Python, TensorFlow, PyTorch, and quantum programming languages (Qiskit, Cirq, or Q#).
  • Proven experience designing distributed systems and high-performance computing architectures.
  • Strong background in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Exceptional leadership skills with a track record of managing large, cross-functional engineering teams.

Required Skills

Python TensorFlow Quantum Computing AI Architecture System Design Kubernetes Cloud Infrastructure Leadership

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