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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect

2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join the Architects of the Future.
We are 2026, a pioneering force in next-generation artificial intelligence infrastructure. We are not just building software; we are engineering the foundation for the intelligent world of tomorrow. We are seeking a visionary Senior AI Systems Architect to lead the development of scalable, high-performance computing systems that will power the AI revolution of 2026 and beyond.

In this role, you will bridge the gap between cutting-edge machine learning research and robust, production-grade infrastructure. You will design systems capable of handling petabyte-scale data flows while ensuring the highest levels of security and efficiency. If you are passionate about solving complex engineering challenges and shaping the technological landscape, we want to hear from you.

Responsibilities

  • Design and architect end-to-end scalable infrastructure for large-scale AI and machine learning workloads.
  • Optimize data pipelines and model inference engines for maximum speed and efficiency.
  • Collaborate with research scientists to translate novel algorithms into deployable, reliable services.
  • Implement and maintain robust CI/CD pipelines and cloud-native architecture (Kubernetes, Docker).
  • Ensure system security, compliance, and high availability across global data centers.
  • Mentor junior engineers and establish best practices for infrastructure as code.

Qualifications

  • 7+ years of experience in software engineering and systems architecture, with a focus on AI/ML infrastructure.
  • Expert proficiency in Python, Go, or Java.
  • Deep experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of distributed systems, networking, and database technologies (PostgreSQL, Cassandra, or Neo4j).
  • Experience with MLOps tools and frameworks (MLflow, Kubeflow, or TensorFlow Serving).
  • Proven track record of leading technical teams and driving architectural decisions.

Required Skills

Python Kubernetes AWS Machine Learning Docker System Design Go MLOps Cloud Architecture Linux

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