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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are defining the future of technology for the year 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Infrastructure Architect to lead the deployment of next-generation neural networks and scalable edge computing solutions. If you are passionate about shaping the architectural landscape of the next decade, we want to hear from you.

Our mission for 2026: To democratize access to AGI-ready infrastructure while maintaining absolute data sovereignty. You will be at the forefront of building the backbone of the future web.

Responsibilities

  • Architect and deploy high-availability AI infrastructure capable of handling petabyte-scale data streams.
  • Lead the technical strategy for the 2026 product roadmap, integrating quantum-ready protocols into current stacks.
  • Optimize deep learning models for latency and throughput in real-time environments.
  • Collaborate with cross-functional teams to translate business requirements into robust technical architectures.
  • Mentor junior engineers and establish best practices for cloud-native AI development.
  • Ensure system security, scalability, and compliance with global data regulations.
  • Research emerging technologies, including neuromorphic computing, to drive innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML infrastructure.
  • Deep expertise in Python, C++, and Rust, with a strong understanding of GPU acceleration (CUDA, ROCm).
  • Proven track record of designing systems for high concurrency and distributed processing.
  • Experience with Kubernetes, Docker, and major cloud providers (AWS, GCP, Azure).
  • Strong background in neural network optimization and large language model (LLM) fine-tuning.
  • Master’s degree or PhD in Computer Science, AI, or a related field is preferred.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python C++ Machine Learning Kubernetes Docker AWS TensorFlow PyTorch Cloud Architecture System Design Quantum Computing AI/ML Engineering

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