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Future-Ready AI Architect | 2026 Vision

Apex Digital Systems
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are pioneering the infrastructure for the next generation of intelligence. As we accelerate towards a 2026-ready ecosystem, we seek a visionary AI Architect to design scalable, sustainable, and secure systems that will power the future of autonomous agents and generative AI.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will lead the charge in optimizing model inference, managing massive GPU clusters, and implementing edge-computing solutions that are resilient, efficient, and future-proof.

Why Join Us?

  • Work on cutting-edge technology that defines the landscape of 2026.
  • Competitive compensation package with equity options.
  • Flexible work environment with a focus on innovation.

Responsibilities

  • Architect Future-Proof Infrastructures: Design and deploy distributed computing environments capable of handling petabyte-scale data for next-gen Large Language Models (LLMs).
  • Optimize AI Workloads: Implement advanced model quantization and inference optimization techniques to reduce latency and operational costs.
  • Edge Computing Leadership: Develop decentralized AI solutions that run efficiently on edge devices and hybrid cloud architectures.
  • Security & Compliance: Enforce rigorous security protocols to protect sensitive training data and model weights.
  • System Scalability: Build auto-scaling pipelines that handle millions of concurrent requests without downtime.
  • Cross-Functional Collaboration: Partner with data scientists and product teams to translate complex AI requirements into robust engineering solutions.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • 8+ years of experience in software engineering and infrastructure architecture.
  • Deep expertise in Python, C++, and Rust.
  • Strong proficiency in Kubernetes, Docker, and Terraform.
  • Experience with cloud platforms (AWS, GCP, or Azure) and GPU virtualization.
  • Knowledge of AI/ML frameworks (PyTorch, TensorFlow) and MLOps tools.
  • Excellent problem-solving skills and a passion for staying ahead of tech trends.

Required Skills

Python C++ Kubernetes Docker Terraform AWS MLOps PyTorch TensorFlow Edge Computing AI Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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