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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

QuantumNext Systems
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Are you ready to architect the future of intelligence?

QuantumNext Systems is pioneering the next generation of artificial intelligence infrastructure, specifically designed for the technological landscape of 2026. We are looking for a visionary Senior AI Infrastructure Architect to lead our core systems engineering team. In this role, you will define the blueprint for scalable, quantum-ready neural networks and ensure our platforms can handle the exponential growth of AI models.

Join us in building the backbone of tomorrow's digital world. You will work in a high-performance environment where innovation is not just encouraged, it is required.

Responsibilities

  • Architect Exascale Systems: Design and deploy resilient, high-throughput infrastructure capable of supporting next-gen AI workloads and large-scale neural network training.
  • Quantum-Ready Roadmap: Lead the strategic integration of quantum computing elements into classical AI pipelines, preparing our architecture for the 2026 technological transition.
  • Optimization & Scalability: Continuously optimize system latency, throughput, and cost-efficiency using cutting-edge containerization and orchestration tools.
  • Security & Compliance: Implement rigorous security protocols to protect proprietary data and ensure compliance with emerging global AI regulations.
  • Team Leadership: Mentor a team of brilliant engineers, fostering a culture of technical excellence and rapid prototyping.
  • Cross-Functional Collaboration: Partner with data scientists and product leads to translate complex research into deployable, production-grade infrastructure.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field; PhD preferred.
  • Experience: 7+ years of experience in systems architecture, DevOps, or MLOps, with a specific focus on large-scale distributed systems.
  • Technical Stack: Deep expertise in Python, Kubernetes, Docker, and major cloud providers (AWS/GCP/Azure). Familiarity with TensorFlow/PyTorch orchestration is essential.
  • Future-Forward Thinking: Demonstrated ability to research and adapt to emerging technologies, specifically those related to AI acceleration and quantum computing.
  • Problem Solving: Exceptional analytical skills with a proven track record of solving complex engineering challenges under tight deadlines.
  • Communication: Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

AI Infrastructure Kubernetes Docker MLOps Python TensorFlow Cloud Architecture Quantum Computing System Design AWS GCP Leadership

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