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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Senior AI & Quantum Architect to lead our R&D division into the next era of computing. In this niche role, you will define the technical roadmap for the technologies that will define the year 2026 and beyond. You will bridge the gap between theoretical AI advancements and practical, scalable engineering solutions.

If you are passionate about next-generation algorithms, quantum computing integration, and building systems that solve complex global problems, we want to hear from you.

Responsibilities

  • Architect and design scalable AI and quantum computing systems for future-ready applications.
  • Lead the research and implementation of novel machine learning algorithms and neural network architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver high-impact solutions.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Define best practices for data privacy, security, and ethical AI usage in production environments.
  • Optimize existing models for speed, accuracy, and resource efficiency.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
  • 5+ years of professional experience in AI, machine learning, or software engineering.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar frameworks.
  • Familiarity with quantum computing concepts (Qiskit, Cirq) or experience in high-performance computing.
  • Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning Python TensorFlow Quantum Computing Cloud Architecture Distributed Systems Neural Networks Data Science Software Engineering

Ready to Take This Challenge?

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