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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

Nexus Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer AI systems for 2026 and beyond. We're seeking an innovative AI Systems Architect to design and implement next-generation autonomous frameworks that will redefine industries. You'll collaborate with elite researchers to translate theoretical breakthroughs into scalable production solutions while maintaining ethical AI standards.

What You'll Achieve: Lead the development of adaptive neural networks, architect quantum-resistant AI infrastructure, and mentor a cross-functional team of engineers. Your work will directly impact our mission to create human-centric AI solutions that solve humanity's most complex challenges.

Responsibilities

  • Design and implement autonomous AI systems with self-optimizing capabilities
  • Architect quantum-resistant machine learning frameworks for 2026-era applications
  • Lead cross-functional teams of ML engineers, data scientists, and roboticists
  • Develop ethical AI governance frameworks aligned with emerging global standards
  • Create scalable infrastructure supporting distributed AI training across edge-cloud environments
  • Pioneer human-AI interaction paradigms for next-generation autonomous systems

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years of systems architecture experience
  • Expertise in distributed computing, quantum-resistant cryptography, and neuromorphic engineering
  • Proven track record deploying production AI systems at enterprise scale
  • Deep knowledge of transformer architectures, federated learning, and explainable AI
  • Experience leading technical teams through agile development of complex systems
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)

Required Skills

AI Architecture Quantum Computing Distributed Systems Neural Networks Machine Learning Ethical AI Systems Design Leadership

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