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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect - 2026 Vision

Nexus Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Technologies as we pioneer the next wave of AI-driven innovation. We seek a visionary AI Systems Architect to design and implement cutting-edge solutions that will shape technology landscapes through 2026 and beyond. This role offers the opportunity to work with industry leaders on transformative projects in autonomous systems, quantum computing integration, and ethical AI frameworks.

Our ideal candidate thrives at the intersection of theoretical AI research and practical deployment, driving breakthroughs that redefine human-machine collaboration. You'll lead cross-functional teams to architect scalable, secure, and future-proof AI infrastructures while mentoring the next generation of tech innovators.

Responsibilities

  • Design and implement AI system architectures supporting 2026 technology roadmap
  • Lead development of quantum-enhanced machine learning pipelines
  • Establish ethical AI governance frameworks for autonomous decision systems
  • Optimize neural network architectures for edge-cloud hybrid deployments
  • Drive innovation in explainable AI (XAI) methodologies
  • Collaborate with product teams to align AI capabilities with market demands
  • Mentor junior engineers in emerging AI paradigms

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 8+ years experience
  • Proven expertise in TensorFlow/PyTorch and distributed computing frameworks
  • Published research in quantum machine learning or federated learning
  • Strong background in MLOps and CI/CD for AI systems
  • Deep understanding of NIST AI Risk Management Framework
  • Experience with Kubernetes, Docker, and cloud-native architectures
  • Track record of deploying production-grade AI systems at scale

Required Skills

AI Architecture Quantum Computing Machine Learning TensorFlow PyTorch Kubernetes MLOps Ethics in AI Distributed Systems NIST AI Framework

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