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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to define the infrastructure of tomorrow? Nexus Horizon Technologies is seeking a visionary AI Systems Architect to lead our charge into the 2026 era of generative intelligence. In this pivotal role, you will architect scalable, secure, and efficient AI models that power the next generation of enterprise solutions. You will collaborate with cross-functional teams to deploy state-of-the-art machine learning systems, ensuring high performance and ethical AI practices. Join us in building the digital foundation for a sustainable future.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for 2026-scale data volumes.
  • Optimize model inference latency and resource utilization across distributed cloud environments.
  • Lead the integration of emerging AI frameworks and proprietary algorithms.
  • Establish robust monitoring, logging, and observability standards for production ML systems.
  • Collaborate with data scientists and product managers to translate business needs into technical AI roadmaps.
  • Ensure compliance with data privacy regulations and ethical AI guidelines.

Qualifications

  • 8+ years of experience in software engineering and machine learning infrastructure.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing (Kubernetes, Docker).
  • Proven track record of deploying large-scale models in cloud environments (AWS, GCP, or Azure).
  • Strong understanding of MLOps, CI/CD pipelines, and model versioning (MLflow, DVC).
  • Experience with real-time data streaming and edge computing is highly preferred.
  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.

Required Skills

Python Machine Learning MLOps Kubernetes PyTorch Cloud Architecture AWS Data Pipelines AI Infrastructure

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