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Information Technology 🏢 Full Time ⭐️ Verified

AI Infrastructure Architect 2026

Nexus Systems Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Systems Inc. as we architect the technological landscape of 2026. We're seeking a visionary AI Infrastructure Architect to design, build, and scale next-generation AI systems that will power the future of global commerce. This role combines deep technical expertise with strategic foresight to create resilient, scalable, and ethically-aligned AI infrastructure solutions.

As a key member of our Innovation Lab, you'll collaborate with cross-functional teams to translate complex business requirements into cutting-edge technical architectures. You'll pioneer the integration of quantum-resistant algorithms, edge-computing paradigms, and autonomous infrastructure orchestration – setting industry standards for the coming decade.

Responsibilities

  • Design and implement end-to-end AI infrastructure solutions for petabyte-scale data processing and model deployment
  • Architect quantum-resistant security frameworks for distributed AI systems
  • Develop autonomous infrastructure orchestration pipelines using Kubernetes and Terraform
  • Lead migration strategies for legacy systems to 2026-ready architectures
  • Establish performance benchmarks and optimization protocols for real-time inference
  • Collaborate with ethics teams to implement bias mitigation and explainability frameworks
  • Document architectural decisions and create strategic roadmaps for 2026 technology adoption

Qualifications

  • 10+ years in infrastructure architecture with 5+ years in AI/ML environments
  • Expertise in distributed systems, Kubernetes, and cloud-native architectures (AWS/GCP/Azure)
  • Deep knowledge of quantum-resistant cryptography and post-quantum security standards
  • Proven experience with MLOps pipelines and model deployment automation
  • Familiarity with ethical AI frameworks and bias mitigation techniques
  • Strong background in edge computing and hybrid-cloud integration
  • Ability to translate complex technical concepts to executive stakeholders
  • Master's degree in Computer Science, Engineering, or equivalent experience

Required Skills

AI Architecture Kubernetes Quantum Computing MLOps Distributed Systems Cloud Infrastructure Ethical AI Terraform Edge Computing

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