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Information Technology 🏒 Full Time ⭐️ Verified

Future Systems Architect - AI & Quantum Integration

Apex Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are pioneering the technological frontier, defining the infrastructure for 2026 and beyond. As a Future Systems Architect at Apex Horizon Solutions, you will not just build software; you will architect the cognitive fabric of tomorrow's digital reality. We are looking for a visionary engineer to bridge the gap between advanced Artificial Intelligence and scalable Quantum Computing infrastructure.

In this pivotal role, you will lead the design of next-generation neural networks and decentralized systems. If you are passionate about the singularity, ethical AI governance, and solving humanity's most complex computational challenges, we want to meet you.

Why Join Us?

  • Be at the vanguard of the 2026 tech revolution.
  • Competitive USD compensation package and equity.
  • Flexible remote-first culture with quarterly global summits.

Responsibilities

  • Design and implement high-performance AI architectures capable of processing exabyte-scale data streams by 2026.
  • Lead the integration of Quantum Processing Units (QPUs) into cloud-native environments to enhance encryption and machine learning models.
  • Define technical roadmaps for autonomous systems, ensuring scalability and interoperability across global networks.
  • Collaborate with cross-functional teams of data scientists, ethicists, and hardware engineers to mitigate bias and ensure system safety.
  • Oversee the migration of legacy systems to next-gen decentralized ledgers (Web3 infrastructure).
  • Mentor junior architects and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, or a related field (PhD preferred).
  • 10+ years of experience in systems architecture, with at least 5 years focused on AI/ML or Quantum Computing.
  • Deep proficiency in Python, C++, and Rust, with experience in TensorFlow, PyTorch, or similar ML frameworks.
  • Strong understanding of distributed systems, microservices, and containerization technologies (Docker, Kubernetes).
  • Experience with quantum programming languages (Q#, Cirq, or Qiskit) is a significant plus.
  • Exceptional problem-solving skills and the ability to thrive in ambiguous, high-stakes environments.

Required Skills

Artificial Intelligence Quantum Computing Systems Architecture Python C++ Machine Learning Distributed Systems Quantum Programming Cloud Infrastructure

Ready to Take This Challenge?

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