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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Systems Architect

Nexus Horizon 2026
San Francisco
Estimated Salary
USD 185.000 – USD 275.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary **Future-Ready AI Systems Architect** to define the foundational infrastructure for the year 2026 and beyond. At Nexus Horizon 2026, we are building the backbone of tomorrow's digital world, integrating cutting-edge neural networks with scalable cloud ecosystems. You will be at the forefront of engineering the systems that will power autonomous decision-making and next-gen IoT solutions.

Responsibilities

  • Architect Scalable Systems: Design robust, high-availability AI infrastructure capable of processing petabytes of real-time data with zero latency.
  • Quantum Integration: Spearhead the research and integration of hybrid classical and quantum computing models into our core stack.
  • Neural Optimization: Drive the research and implementation of advanced neural network pruning and edge-computing optimizations for mobile devices.
  • Technical Leadership: Mentor a team of senior engineers and set architectural standards for security, scalability, and performance.
  • Protocol Development: Define and implement secure data transmission protocols for next-gen decentralized networks.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: Minimum of 8 years of experience in systems architecture, with a focus on AI/ML platforms.
  • Programming: Proficiency in Python, Go, Rust, and deep learning frameworks (TensorFlow, PyTorch).
  • Cloud Mastery: Extensive experience with AWS, Google Cloud, or Azure, specifically in AI services and serverless architectures.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems in high-pressure, innovation-driven environments.

Required Skills

Python AI Architecture Cloud Computing Neural Networks Rust Go AWS TensorFlow Edge Computing System Design

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