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Information Technology 🏢 Full Time ⭐️ Verified

AI Infrastructure Architect 2026 Initiative

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join our pioneering 2026 Initiative to architect the next generation of AI infrastructure that will redefine technological boundaries. As an AI Infrastructure Architect, you'll design scalable, secure, and high-performance systems that power breakthrough AI applications. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with cutting-edge technologies in a dynamic, forward-thinking environment.

We're seeking visionary engineers who can translate complex business requirements into robust technical architectures. You'll collaborate with world-class teams to implement solutions that push the limits of what's possible in AI computing, ensuring our infrastructure remains at the forefront of innovation.

Responsibilities

  • Design and implement scalable AI infrastructure solutions supporting large-scale machine learning workloads
  • Develop cloud-native architectures utilizing Kubernetes, GPU clusters, and distributed computing frameworks
  • Create robust security protocols for AI systems including data encryption, access controls, and compliance frameworks
  • Optimize infrastructure performance through continuous monitoring, benchmarking, and automation
  • Lead technical strategy for AI model deployment, MLOps pipelines, and lifecycle management
  • Collaborate with data scientists and ML engineers to translate requirements into infrastructure blueprints
  • Stay ahead of emerging technologies including quantum computing, neuromorphic chips, and edge AI

Qualifications

  • 10+ years in infrastructure architecture with 5+ years specializing in AI/ML environments
  • Expertise in cloud platforms (AWS/Azure/GCP) and hybrid multi-cloud architectures
  • Deep understanding of GPU acceleration, distributed computing, and high-performance networking
  • Proven experience designing secure, compliant systems for regulated industries
  • Strong background in automation tools (Terraform, Ansible, Kubernetes Operators)
  • Master's degree in Computer Science, Engineering, or equivalent experience
  • Certifications in cloud architecture and security (AWS/Azure/GCP Professional level)

Required Skills

AI Infrastructure Cloud Architecture Kubernetes GPU Computing MLOps Distributed Systems Security Architecture Automation Quantum Computing

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