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Artificial Intelligence 🏒 Full Time ⭐️ Verified

2026 AI Systems Architect

Nexus Horizons
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are seeking a visionary 2026 AI Systems Architect to lead the next generation of intelligent infrastructure. In this pivotal role, you will define the architectural blueprints that will power the digital landscape of the future. You will bridge the gap between theoretical Artificial General Intelligence (AGI) and practical, scalable system deployment.

As a key member of our elite R&D division, you will not just build software; you will shape the ethical and technical framework for autonomous systems. We offer a competitive compensation package, equity options, and the opportunity to work on projects that will define the industry standards for the next decade.

Responsibilities

  • Design and implement scalable AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the migration towards decentralized AI models and edge computing architectures.
  • Collaborate with cross-functional teams to integrate advanced AI agents into core product ecosystems.
  • Optimize neural network architectures for ultra-low latency environments.
  • Establish rigorous security protocols and governance frameworks for autonomous AI systems.
  • Mentor junior engineers and define technical best practices for future tech adoption.

Qualifications

  • Master’s degree in Computer Science, Physics, or a related technical field (PhD preferred).
  • 10+ years of experience in software engineering and AI development.
  • Deep expertise in Large Language Models (LLMs), Transformers, and generative AI.
  • Proven track record of deploying complex AI solutions in high-scale production environments.
  • Strong understanding of ethical AI, bias mitigation, and responsible machine learning practices.
  • Experience with quantum computing concepts and hybrid classical-quantum algorithms.

Required Skills

Python TensorFlow PyTorch System Architecture Machine Learning Cloud Infrastructure Docker Kubernetes Quantum Computing AI Ethics

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