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Senior AI Architect | Project 2026

Quantum Horizon Systems
Seattle
Estimated Salary
USD 220.000 – USD 300.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the future of intelligent systems?

Quantum Horizon Systems is leading the charge on Project 2026, a revolutionary initiative aimed at bridging the gap between current AI capabilities and the next generation of autonomous decision-making. We are looking for a visionary Senior AI Architect to design the core infrastructure that will power our proprietary neural networks.

In this role, you won't just write code; you will architect the roadmap for the year 2026 and beyond. You will collaborate with top-tier engineers and strategists to build scalable, ethical, and high-performance AI models that will redefine industry standards.

Why Join Us?

  • Work on the bleeding edge of AI technology with a focus on longevity and sustainability.
  • Competitive compensation package with equity options.
  • Remote-first culture with access to state-of-the-art compute clusters.

Responsibilities

  • Design and implement scalable machine learning architectures for the Project 2026 roadmap.
  • Lead the technical strategy for deploying next-gen Large Language Models (LLMs) and generative AI tools.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Optimize model inference and training pipelines to ensure sub-millisecond latency.
  • Conduct rigorous research into emerging AI paradigms to keep the team ahead of the curve.
  • Establish best practices for data governance and AI ethics within the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of professional experience in machine learning, deep learning, or AI engineering.
  • Expert proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries.
  • Proven track record of deploying production-grade AI solutions at scale.
  • Strong understanding of distributed systems, cloud computing (AWS/Azure/GCP), and MLOps.
  • Excellent communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps AWS Distributed Systems Data Science Leadership AI Architecture

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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