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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation neural architectures expected to define the 2026 technological landscape. At Nexus Horizon Systems, we are building the infrastructure for a post-silicon future, focusing on advanced generative models and autonomous reasoning systems.

If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs), Computer Vision, and Reinforcement Learning, we want to hear from you. This role offers the opportunity to work with a world-class team on projects that will shape the future of human-computer interaction.

Responsibilities

  • Architect Scalable AI Systems: Design and implement cutting-edge machine learning pipelines capable of handling petabyte-scale data streams with sub-millisecond latency.
  • Lead Model Innovation: Spearhead research into novel neural network topologies and optimization techniques to enhance inference speed and accuracy.
  • Production Deployment: Oversee the end-to-end deployment of AI models into cloud-native environments, ensuring high availability, security, and compliance.
  • Mentorship: Guide a team of junior data scientists and machine learning engineers, fostering a culture of technical excellence and continuous learning.
  • Cross-functional Collaboration: Partner with product managers, engineers, and stakeholders to translate complex AI capabilities into user-centric features.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of professional experience in software engineering and machine learning, with at least 3 years in a senior architecture role.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Docker).
  • Domain Knowledge: Proven track record of deploying successful AI products in production environments.
  • Problem Solving: Exceptional ability to deconstruct complex problems and derive elegant algorithmic solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Kubernetes Cloud Computing AI Architecture NLP Computer Vision

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