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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join the forefront of technological evolution as we architect the AI infrastructure for 2026. Quantum Leap Technologies seeks a visionary AI Infrastructure Architect to design and implement next-generation systems that will power the next wave of artificial intelligence breakthroughs. This role is pivotal in shaping how organizations harness AI for transformative growth.

You'll lead the development of scalable, secure, and high-performance computing environments that enable cutting-edge machine learning applications. Our ideal candidate combines deep technical expertise with strategic foresight to build infrastructure solutions that anticipate the demands of 2026's AI landscape.

Responsibilities

  • Design and implement next-generation AI infrastructure supporting terascale computing and quantum-assisted ML models
  • Architect hybrid cloud/on-prem solutions with zero-trust security frameworks for 2026's threat landscape
  • Lead cross-functional teams in deploying edge-computing architectures for real-time AI inference
  • Develop automation frameworks for infrastructure provisioning and model deployment at scale
  • Create disaster recovery and business continuity plans for AI-dependent systems
  • Research and integrate emerging technologies like photonic computing and neuromorphic chips
  • Optimize infrastructure for energy efficiency and sustainability in compliance with 2026 regulations

Qualifications

  • 10+ years in infrastructure architecture with 5+ years specializing in AI/ML environments
  • Expertise in Kubernetes, GPU orchestration, and distributed computing frameworks
  • Certification in AWS/Azure/GCP with proven experience in hybrid cloud deployments
  • Deep understanding of quantum computing fundamentals and their practical applications
  • Experience designing zero-trust security models for AI systems
  • Track record of building infrastructure supporting LLMs and generative AI workloads
  • Strong knowledge of 2026's emerging tech landscape including neuromorphic computing
  • Ability to translate complex technical concepts into strategic business value

Required Skills

AI Infrastructure Quantum Computing Kubernetes Hybrid Cloud Zero-Trust Security Edge Computing LLM Deployment Neuromorphic Systems

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