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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer AI systems that will redefine industries by 2026. We seek a visionary 2026 AI Systems Architect to design next-generation neural frameworks and quantum-integrated computing solutions. This role offers unparalleled opportunities to shape humanity's digital future while collaborating with Nobel laureates and Turing Award winners in our state-of-the-art Silicon Valley campus. Enjoy competitive equity, unlimited PTO, and a wellness stipend as you architect AI systems that will power the next decade of innovation.

Responsibilities

  • Design scalable AI architectures integrating quantum computing and neural networks for 2026 deployment
  • Lead cross-functional teams of ML engineers and data scientists to develop ethical AI governance frameworks
  • Research and implement cutting-edge federated learning techniques for distributed AI systems
  • Develop real-time inference pipelines for edge computing environments at scale
  • Create secure-by-design architectures compliant with evolving global AI regulations
  • Partner with product teams to translate complex technical requirements into deployable AI solutions
  • Present architectural blueprints to C-suite executives and venture capital partners

Qualifications

  • 10+ years in AI/ML systems architecture with proven experience in quantum computing integration
  • Expertise in federated learning, differential privacy, and ethical AI frameworks
  • PhD or equivalent in Computer Science, AI, or Quantum Computing from Tier 1 institution
  • Published research in top-tier AI conferences (NeurIPS, ICML) or patents in quantum AI
  • Proficiency in PyTorch, TensorFlow, and low-level quantum programming languages
  • Experience architecting systems for >10M-user environments with <50ms latency
  • Deep understanding of EU AI Act, NIST AI RMF, and global AI regulatory landscapes
  • Track record of leading AI projects from concept to production at Fortune 500 companies

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Neural Networks Federated Learning PyTorch TensorFlow AI Ethics Systems Architecture Quantum Programming Edge Computing

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