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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

NextGen Solutions Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

Join NextGen Solutions Inc. as we redefine the future of artificial intelligence. We're seeking a visionary AI Systems Architect to design and implement cutting-edge AI infrastructure for 2026. This role offers unparalleled opportunity to shape next-generation autonomous systems while working with industry-leading experts in our state-of-the-art Austin facility.

Our ideal candidate thrives at the intersection of machine learning, distributed systems, and quantum computing. You'll lead the development of scalable AI architectures that process petabytes of real-time data while maintaining enterprise-grade security and ethical compliance. This position includes competitive equity, unlimited PTO, and a dedicated innovation budget.

Responsibilities

  • Design and deploy next-gen AI infrastructure supporting 10M+ concurrent users
  • Architect quantum-accelerated ML pipelines for real-time decision systems
  • Develop ethical AI governance frameworks compliant with 2026 regulatory standards
  • Lead cross-functional teams of ML engineers and data scientists
  • Optimize hyperparameter tuning for autonomous systems with 99.99% uptime
  • Research and implement federated learning solutions for privacy-preserving AI
  • Create technical documentation and present architecture blueprints to C-suite executives

Qualifications

  • PhD in Computer Science or equivalent with 8+ years in AI infrastructure
  • Expertise in distributed ML frameworks (TensorFlow, PyTorch, JAX)
  • Proven experience with quantum computing APIs and hybrid quantum-classical systems
  • Deep knowledge of Kubernetes, Kubernetes Operators, and cloud-native architectures
  • Certification in AI ethics and bias mitigation techniques
  • Published research in top-tier AI conferences (NeurIPS, ICML, CVPR)
  • Strong background in MLOps and CI/CD for ML pipelines
  • Experience with GPU/TPU cluster optimization and cost modeling

Required Skills

AI Architecture Quantum Computing Distributed Systems Kubernetes MLOps TensorFlow PyTorch Ethics in AI

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