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Senior Quantum AI Architect

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

Job Description

Shape the Future of Intelligence.

Apex Horizon Systems is at the forefront of the technological revolution. We are looking for a visionary Senior Quantum AI Architect to lead the charge in integrating quantum computing with next-generation artificial intelligence. In this role, you will define the computational strategies that will power industries from healthcare to finance by 2026 and beyond.

If you are a pioneer who thrives on complexity and desires to build systems that defy current limitations, we want to meet you.

Responsibilities

  • Architect Quantum-Enhanced Solutions: Design and implement hybrid quantum-classical algorithms that solve complex optimization problems beyond the reach of classical computing.
  • System Integration & Deployment: Oversee the integration of quantum processors with cloud-based AI infrastructure, ensuring seamless scalability and reliability.
  • R&D Leadership: Lead a high-performance research team to develop error mitigation techniques and improve coherence times in NISQ (Noisy Intermediate-Scale Quantum) devices.
  • Model Optimization: Translate theoretical quantum models into practical software solutions, optimizing code execution for specialized hardware.
  • Technical Strategy: Define the long-term technical roadmap for our quantum AI initiatives, identifying emerging technologies and competitive advantages.
  • Stakeholder Communication: Collaborate with cross-functional teams and executive leadership to translate technical concepts into business value.

Qualifications

  • Advanced Education: PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related quantitative field.
  • Experience: 5+ years of software engineering experience, with at least 2 years specifically focused on quantum computing or advanced AI/ML research.
  • Technical Proficiency: Deep expertise in Python, C++, and quantum SDKs such as Qiskit, Cirq, or Pennylane.
  • Machine Learning Mastery: Strong background in classical machine learning algorithms and neural network architectures.
  • Cloud Infrastructure: Proven track record of deploying and managing scalable systems on AWS, Azure, or Google Cloud Platform.
  • Problem Solving: Exceptional ability to navigate ambiguity and derive innovative solutions to unstructured technical challenges.

Required Skills

Quantum Computing AI/ML Python Qiskit C++ TensorFlow System Design Cloud Architecture R&D

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