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Senior AI Architect - The Future of 2026

2026 Horizon Tech
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the technological landscape of the next decade? 2026 Horizon Tech is a cutting-edge research lab dedicated to building the AI infrastructure that will power the world by the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our core research division in San Francisco.

In this pivotal role, you will not just implement existing models; you will architect the foundational neural networks that will set industry standards. You will work at the intersection of Generative AI, Quantum Computing, and Ethical Machine Learning. If you are driven by the challenge of solving unsolved problems and have a passion for building systems that think, this is your opportunity to leave a lasting legacy.

Responsibilities

  • Lead the design and implementation of proprietary Large Language Models (LLMs) and multimodal AI systems.
  • Architect scalable MLOps pipelines that handle petabytes of data with sub-millisecond latency.
  • Collaborate with a world-class team of physicists, data scientists, and software engineers to pioneer new AI methodologies.
  • Ensure all AI systems adhere to the highest standards of safety, ethics, and regulatory compliance.
  • Define technical roadmaps for the engineering department and mentor senior engineering talent.
  • Conduct cutting-edge research to publish papers and present at top-tier global AI conferences.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a lead or architectural role.
  • Deep expertise in PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven experience deploying large-scale AI models in production environments.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in fast-paced environments.

Required Skills

Python PyTorch TensorFlow MLOps Docker Kubernetes AWS Large Language Models Generative AI Distributed Systems Deep Learning

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