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Senior AI Architect (2026 Visionary) | San Francisco, CA

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the 2026 technological landscape, and we are seeking a visionary Senior AI Architect to lead our advanced neural infrastructure. As we prepare for the next era of computing, you will define the architectural blueprints for our next-generation artificial intelligence systems.

In this role, you won't just be maintaining legacy systems; you will be building the foundation for the year 2026 and beyond. You will collaborate with top-tier researchers and engineers to deploy scalable, robust AI models that solve complex, real-world problems.

Why Join Us?
β€’ Work on cutting-edge AI research aimed at the 2026 horizon.
β€’ Competitive compensation and equity package.
β€’ Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Lead the architectural design and implementation of AI systems specifically engineered for the 2026 performance standards.
  • Oversee the deployment of large-scale machine learning models and ensure high availability and scalability.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous performance tuning and optimization of neural networks to meet future hardware requirements.
  • Collaborate with cross-functional teams to integrate AI capabilities into broader software ecosystems.
  • Define best practices for data governance and model deployment in a secure, cloud-native environment.
  • Stay ahead of emerging trends in AI, ensuring our 2026 roadmap remains competitive.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of professional experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and CUDA programming.
  • Proven experience designing scalable distributed systems for high-throughput data processing.
  • Strong understanding of deep learning principles, NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and a track record of delivering complex projects on time.

Required Skills

Python TensorFlow PyTorch CUDA Machine Learning Deep Learning Distributed Systems AWS Kubernetes Docker Natural Language Processing Computer Vision System Architecture

Ready to Take This Challenge?

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