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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Vision

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a new technological era. At Apex Future Tech, we are not just building software; we are architecting the digital reality of 2026 and beyond. We are seeking a visionary Senior AI Systems Architect to lead our core infrastructure team in defining the next generation of intelligent systems.

In this high-impact role, you will bridge the gap between cutting-edge theoretical research and production-grade scalability. You will be responsible for deploying autonomous agents and integrating quantum-ready algorithms into our global product suite. If you are passionate about shaping the future of AI and want to work with the brightest minds in Silicon Valley, we want to hear from you.

Responsibilities

  • Design and implement high-performance AI inference engines capable of handling petabyte-scale datasets and real-time latency requirements.
  • Lead the architectural migration of legacy systems to decentralized, quantum-resistant frameworks.
  • Collaborate with cross-functional teams to define the roadmap for next-gen human-computer interfaces and spatial computing.
  • Optimize neural network models for edge devices and smart city infrastructure integration.
  • Establish industry-leading best practices for data privacy, security, and ethical AI usage in autonomous environments.
  • Conduct deep-dive research into emerging technologies, including Large Language Models (LLMs) and Generative Adversarial Networks (GANs).

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of professional experience in software engineering, machine learning, and distributed systems.
  • Deep expertise in Python, C++, and Rust, with proven experience in GPU acceleration (CUDA, OpenCL).
  • Proven track record of deploying Large Language Models (LLMs) in high-stakes production environments.
  • Familiarity with post-quantum cryptography, blockchain infrastructure, or federated learning.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning CUDA C++ Rust Cloud Architecture AI Ethics Distributed Systems Neural Networks

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