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Senior AI & Quantum Integration Architect (2026 Roadmap)

Apex Horizon Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are not just building the future; we are defining it. Apex Horizon Systems is seeking a visionary Senior AI & Quantum Integration Architect to spearhead our 2026 technological roadmap.


In this high-impact role, you will bridge the gap between artificial intelligence and next-generation quantum computing. You will lead a world-class team of engineers to develop scalable, secure, and revolutionary systems that will set the industry standard for the coming decade.


If you are a forward-thinker with a passion for pushing the boundaries of what is possible in tech, we want to hear from you.

Responsibilities

  • Lead Strategic Innovation: Define and execute the technical vision for the 2026 roadmap, focusing on Quantum-AI convergence and edge computing architectures.
  • System Architecture: Design robust, scalable, and secure neural network architectures integrated with quantum processing units (QPUs).
  • Team Leadership: Mentor and guide a cross-functional team of data scientists, quantum physicists, and software engineers to ensure best practices in code and design.
  • R&D Collaboration: Partner with research labs to translate theoretical breakthroughs into production-ready AI solutions.
  • Performance Optimization: Oversee the deployment of models on high-performance computing clusters and optimize inference speeds for real-time applications.
  • Compliance & Ethics: Ensure all AI implementations adhere to ethical guidelines and regulatory standards for emerging technologies.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Physics, or a related field with a focus on AI/Quantum Computing.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior architect role within AI or Machine Learning.
  • Technical Skills: Deep expertise in Python, C++, and frameworks such as TensorFlow, PyTorch, or Qiskit.
  • Quantum Knowledge: Demonstrable experience with quantum algorithms, quantum hardware simulation, or hybrid quantum-classical models.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and navigate ambiguity in a rapidly evolving tech landscape.
  • Communication: Excellent verbal and written communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Python C++ TensorFlow PyTorch Qiskit Cloud Computing Leadership R&D

Ready to Take This Challenge?

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