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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - San Francisco, CA

Nexus 2026 Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Are you ready to architect the backbone of the future? Nexus 2026 Solutions is seeking a visionary Senior AI Architect to join our elite team in San Francisco. We are building the next generation of intelligent systems, and we need a technical leader who can bridge the gap between complex AI research and scalable, resilient infrastructure.

In this role, you will define the technical roadmap for our cloud-native environments, ensuring high availability and performance as we scale towards the future. If you are passionate about Kubernetes, Machine Learning operations, and building robust systems, we want to meet you.

Responsibilities

  • Design, build, and maintain scalable, high-performance infrastructure for AI workloads using Kubernetes and cloud-native technologies.
  • Collaborate with data scientists and ML engineers to optimize model deployment and inference pipelines for cost and speed.
  • Implement and enforce robust security best practices and compliance standards across all cloud environments.
  • Drive architectural decisions that influence the technical trajectory of the company for 2026 and beyond.
  • Lead incident response and troubleshooting for critical production systems, ensuring 99.99% uptime.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • 7+ years of experience in Systems Engineering, DevOps, or Site Reliability Engineering.
  • Deep expertise in container orchestration (Kubernetes) and cloud platforms (AWS or GCP).
  • Strong programming skills in Python, Go, or Bash for automation and scripting.
  • Experience deploying and managing large-scale Machine Learning models and data pipelines.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • BS or MS in Computer Science, Engineering, or a related technical field.

Required Skills

Kubernetes AWS Python Machine Learning Docker Terraform System Design CI/CD Linux

Ready to Take This Challenge?

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