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

Nebula Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our breakthrough initiatives for the year 2026 and beyond. As the landscape of technology shifts toward quantum integration and advanced generative models, your expertise will define our infrastructure.

Role Overview:

In this pivotal role, you will bridge the gap between theoretical machine learning research and production-grade engineering. You will be responsible for designing the next generation of AI systems that are not only scalable but also adaptable to the rapid technological changes expected in the near future.

Why Join Us?

We offer a competitive package and the opportunity to work on projects that will shape the technological horizon of the coming decade. If you are passionate about the future of AI and possess a deep understanding of system architecture, we want to hear from you.

Responsibilities

  • Design and architect scalable AI systems capable of handling massive data throughput for 2026-level demands.
  • Lead the integration of quantum computing concepts into classical machine learning pipelines.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize neural network models for latency, efficiency, and accuracy across various hardware architectures.
  • Collaborate with cross-functional teams to define product roadmaps that leverage cutting-edge AI capabilities.
  • Ensure data privacy, security, and ethical AI compliance in all architectural designs.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering and 5+ years in AI/ML architecture.
  • Deep expertise in Python, C++, and TensorFlow/PyTorch.
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
  • Familiarity with quantum computing libraries and paradigms is highly desirable.
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Quantum Computing C++ AWS GCP Docker Kubernetes Machine Learning Neural Networks System Architecture

Ready to Take This Challenge?

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