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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on the precipice of a technological revolution, and we are looking for a visionary Senior AI & Quantum Systems Architect to lead our engineering efforts toward the year 2026. In this pivotal role, you will be at the forefront of defining how artificial intelligence and quantum computing converge to solve the world's most complex problems.

At Apex Horizon Technologies, we build the infrastructure for tomorrow. We value intellectual curiosity, technical excellence, and the drive to push boundaries. If you are an engineer who wants to shape the future of computing, this is your opportunity to make a significant impact.

Responsibilities

  • Design and architect scalable machine learning pipelines capable of handling next-generation quantum data sets.
  • Lead the research and implementation of advanced AI models, ensuring they are production-ready for high-stakes environments.
  • Collaborate with cross-functional teams to integrate AI solutions into broader software ecosystems.
  • Establish architectural standards and best practices for cloud-native AI deployments.
  • Conduct performance optimization and cost analysis for large-scale AI infrastructure.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical rigor.

Qualifications

  • Master’s or PhD in Computer Science, Physics, or a related quantitative field.
  • Minimum of 7 years of professional experience in software engineering and machine learning architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Experience with quantum computing libraries (e.g., Qiskit, Cirq) or a strong grasp of quantum algorithm principles.
  • Proven ability to lead technical teams and manage complex project lifecycles.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning System Architecture Distributed Systems AWS Kubernetes Docker Data Engineering

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