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Information Technology 🏢 Full Time ⭐️ Verified

Future-Ready AI Infrastructure Architect (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are seeking a visionary Future-Ready AI Infrastructure Architect to lead the development of next-generation systems designed for the year 2026 and beyond. At Nexus Horizon Labs, we are building the backbone of tomorrow's digital world, integrating cutting-edge Artificial Intelligence with scalable, secure cloud architectures.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our platforms are resilient, intelligent, and future-proof. You will work in a dynamic environment where innovation is the only constant.

Responsibilities

  • Architect Next-Gen AI Systems: Design and deploy scalable, fault-tolerant infrastructure for large-scale machine learning models and autonomous agents.
  • Optimize Performance: Implement high-performance computing (HPC) strategies to reduce latency and maximize processing speed for real-time applications.
  • Future-Proofing: Evaluate emerging technologies such as Edge AI, Quantum Computing interfaces, and Web3 protocols to integrate them into our existing stack.
  • Security & Compliance: Establish rigorous security protocols to protect sensitive data and ensure compliance with evolving global regulations.
  • Team Leadership: Mentor a diverse team of engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years specifically in AI infrastructure and cloud architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and containerization technologies (Docker/Kubernetes).
  • Cloud Proficiency: Proven track record working with AWS, Google Cloud Platform, or Azure.
  • Problem Solving: Strong analytical skills with the ability to troubleshoot complex, distributed system issues.

Required Skills

Python Machine Learning Cloud Architecture Docker Kubernetes AWS TensorFlow PyTorch System Design

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