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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Systems Architect - 2026 Future Tech

Nexus Horizon
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Systems Architect to lead the charge in building the intelligent infrastructure of tomorrow. As a core member of the Nexus Horizon team, you will be responsible for architecting the next generation of neural networks and autonomous systems designed to dominate the technological landscape of 2026 and beyond.

In this high-impact role, you will bridge the gap between theoretical machine learning research and scalable production deployment. You will work in a fast-paced environment where innovation is not just encouraged—it is the standard.

Why Join Us?

  • Shape the future of technology with cutting-edge AI.
  • Competitive compensation and equity packages.
  • Remote-first culture with premium benefits.

Responsibilities

  • Design and deploy next-generation neural network architectures optimized for high-performance inference.
  • Lead the development of scalable, distributed machine learning systems capable of handling petabyte-scale data.
  • Collaborate with cross-functional teams to define future-proof product roadmaps and technical strategies.
  • Optimize deep learning models for real-time latency reduction and cost efficiency.
  • Establish best practices for code quality, CI/CD pipelines, and MLOps infrastructure.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architecture role.
  • Deep expertise in Large Language Models (LLMs), Transformers, and Generative AI models.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Proven experience designing distributed systems on cloud platforms (AWS, GCP, or Azure).

Required Skills

AI Machine Learning System Architecture Python PyTorch TensorFlow Cloud Computing MLOps Deep Learning Distributed Systems

Ready to Take This Challenge?

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