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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect (2026 Roadmap)

Nebula Horizon Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Nebula Horizon Tech is pioneering the future of intelligent systems. We are seeking a visionary Senior AI Architect to spearhead our 2026 strategic roadmap and design the next generation of machine learning infrastructure.

This is not a traditional engineering role; it is an opportunity to define the architectural standards for the AI products of tomorrow. You will bridge the gap between theoretical research and production-grade deployment.

What you will do:

Our ideal candidate is obsessed with scalability, efficiency, and innovation. You will lead a cross-functional team in building robust AI solutions that drive business growth and user engagement.

Responsibilities

  • Architect and design scalable machine learning pipelines and infrastructure for high-traffic applications.
  • Oversee the end-to-end lifecycle of AI models, from data ingestion and training to deployment and monitoring.
  • Collaborate with data scientists to optimize model accuracy and reduce computational costs.
  • Establish best practices for code quality, testing, and security within the AI engineering department.
  • Mentor and guide junior developers, fostering a culture of continuous learning and technical excellence.
  • Research emerging technologies to ensure our stack remains competitive in the rapidly evolving AI landscape.

Qualifications

  • 7+ years of professional experience in software engineering or data science, with at least 3 years in a senior leadership or architect role.
  • Deep proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of MLOps principles, CI/CD pipelines, and system design.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master’s degree preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design MLOps AWS Kubernetes Docker Cloud Architecture

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