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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI & Quantum Integration Architect

Nebula Horizon Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are on the precipice of a technological renaissance. As we look toward 2026, the integration of Artificial Intelligence and Quantum Computing will define the next era of enterprise capability. Nebula Horizon Innovations is seeking a visionary AI & Quantum Integration Architect to design the infrastructure that powers our roadmap through 2026 and beyond.

In this role, you will bridge the gap between theoretical future-state technologies and current production environments. You will lead the architectural planning for hybrid systems that leverage LLMs, edge computing, and early-stage quantum protocols to solve complex, high-scale problems. If you are passionate about shaping the technological landscape of 2026 and possess a deep understanding of scalable systems, we want to hear from you.

Responsibilities

  • Define and execute the technical architecture for integrating AI models with quantum-ready data pipelines by 2026.
  • Lead the design of hybrid cloud infrastructure capable of handling next-generation computational workloads.
  • Collaborate with product teams to translate 2026 strategic goals into concrete technical roadmaps and milestones.
  • Optimize existing systems for seamless interoperability with emerging AI agents and autonomous agents.
  • Conduct feasibility studies for cutting-edge technologies (e.g., neuromorphic computing) to prepare for the 2026 release cycle.
  • Mentor engineering teams on best practices for secure, scalable, and future-proof software development.

Qualifications

  • 10+ years of experience in software architecture, with at least 5 years in AI/ML or high-performance computing environments.
  • Deep understanding of current AI frameworks (TensorFlow, PyTorch) and the theoretical underpinnings of quantum computing.
  • Proven track record of designing scalable microservices architectures in a cloud-native environment (AWS, GCP, or Azure).
  • Experience with data modeling for high-dimensional datasets and real-time processing.
  • Strong proficiency in Python, C++, or Rust, with a focus on systems programming.
  • Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

AI Architecture Quantum Computing Cloud Infrastructure Machine Learning System Design Python C++ AWS Microservices Data Engineering

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