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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

Nexus Innovations
Austin
Estimated Salary
USD 150.000 – USD 220.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join Nexus Innovations at the forefront of 2026 technology as we pioneer next-generation AI systems. We're seeking a visionary AI Systems Architect to design scalable, ethical frameworks that will define the next decade of intelligent automation. This role combines cutting-edge research with practical implementation, requiring a blend of deep technical expertise and strategic foresight. You'll lead initiatives that bridge quantum computing advancements with neural network architectures, creating solutions that transcend current limitations. Our Austin hub offers an unparalleled environment for innovation, with state-of-the-art labs and cross-disciplinary collaboration.

Responsibilities

  • Architect next-gen AI systems integrating quantum computing and neuromorphic processors
  • Design ethical frameworks for autonomous decision-making algorithms
  • Lead cross-functional teams in deploying edge-AI solutions across IoT ecosystems
  • Develop predictive models for AI system evolution through 2026-2030
  • Establish governance protocols for federated learning networks
  • Drive innovation in explainable AI (XAI) methodologies
  • Mentor junior engineers on future-proof system design principles

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years of architecture experience
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Proven track record in deploying production-grade neural networks at scale
  • Deep understanding of ethical AI governance frameworks (EU AI Act, NIST guidelines)
  • Strong background in distributed systems and edge computing architectures
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Certification in quantum computing (IBM Q, Google Quantum AI)

Required Skills

Quantum Computing Neural Networks AI Ethics System Architecture Edge AI Federated Learning Explainable AI Python TensorFlow PyTorch

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