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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Systems Architect - 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Shape the Future of Intelligence. Nexus Horizon Technologies is pioneering the next era of autonomous systems. We are looking for a visionary Lead AI Systems Architect to design the core neural architectures that will power our operations in 2026 and beyond.

In this role, you won't just write code; you will define the rules of engagement for intelligent machines. You will bridge the gap between theoretical AI research and scalable, production-grade software engineering.

Responsibilities

  • Architect Scalable Neural Networks: Design and implement cutting-edge deep learning models capable of processing petabytes of real-time data streams.
  • System Optimization: Lead efforts to reduce latency and increase throughput in our distributed AI inference engines.
  • Research Integration: Collaborate with our research division to translate academic breakthroughs into practical, deployable software solutions.
  • Team Leadership: Mentor a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Security & Ethics: Ensure all AI systems adhere to strict ethical guidelines and security protocols, maintaining data privacy standards for 2026 compliance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years specializing in AI/ML systems architecture.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with Kubernetes and cloud infrastructure (AWS/GCP).
  • Quantum Knowledge: Familiarity with quantum computing principles is a significant plus.
  • Problem Solving: Demonstrated ability to tackle complex, undefined problems in high-pressure environments.

Required Skills

Python Machine Learning Deep Learning Neural Networks Cloud Architecture Kubernetes TensorFlow PyTorch AI Ethics

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