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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Horizon)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Overview: Nexus Future Systems is at the forefront of defining the technological landscape for the year 2026. We are building the infrastructure that will power the next generation of autonomous intelligence. We are looking for a visionary Senior AI Infrastructure Architect to lead our engineering efforts in designing scalable, secure, and efficient systems for the future.

The Role: You will be responsible for architecting the backbone of our AI ecosystem. This involves designing high-throughput pipelines, optimizing machine learning models for edge deployment, and ensuring our infrastructure is resilient against future threats. You will work directly with our research team to translate theoretical advancements into production-ready solutions.

Why Nexus Future Systems? We offer a competitive salary, comprehensive health benefits, and the opportunity to shape the future of technology in a dynamic, collaborative environment.

Responsibilities

  • Architect and implement scalable AI infrastructure pipelines capable of handling exabyte-scale data.
  • Design and deploy quantum-resistant cryptographic protocols for AI model protection.
  • Lead the migration of legacy systems to next-generation distributed computing frameworks.
  • Optimize large language models (LLMs) for real-time inference on heterogeneous hardware.
  • Establish robust security and governance frameworks for autonomous AI agents.
  • Collaborate with cross-functional teams to define technical roadmaps for 2026 and beyond.

Qualifications

  • 10+ years of experience in Software Engineering, with a focus on AI/ML infrastructure.
  • Deep expertise in Python, Rust, Go, and container orchestration (Kubernetes/Docker).
  • Proven experience with GPU acceleration, high-performance computing (HPC), and cloud architecture.
  • Strong understanding of edge computing, 5G/6G networks, and IoT integration.
  • PhD in Computer Science, Artificial Intelligence, or a related technical field is highly preferred.
  • Excellent problem-solving skills and the ability to lead technical teams in a fast-paced environment.

Required Skills

Machine Learning Python Rust Kubernetes Cloud Architecture AI Ethics Generative AI Distributed Systems High-Performance Computing

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