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Senior AI Architect (Future Tech)

Nebula Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nebula Dynamics is pioneering the next generation of intelligent systems. We are looking for a visionary Senior AI Architect to lead our research and development efforts into 2026 and beyond. If you are passionate about the future of technology, possess deep expertise in generative AI, and want to build scalable solutions that redefine industry standards, we want to meet you.

Why Join Us?

  • Impactful Work: You will shape the core architecture of our AI products that will power millions of users.
  • Future-Ready: Work in a forward-thinking environment focused on 2026 tech trends and beyond.
  • Competitive Package: Top-tier salary, equity options, and comprehensive benefits.

The Role

As our Senior AI Architect, you will be responsible for designing, building, and deploying state-of-the-art machine learning models. You will bridge the gap between theoretical research and production-grade software, ensuring our systems are robust, efficient, and ethical.

Responsibilities

  • Design and implement scalable machine learning pipelines and neural network architectures.
  • Lead the research and development of generative AI models, including LLMs and diffusion models.
  • Collaborate with cross-functional teams of engineers, data scientists, and product managers.
  • Optimize model inference and training times for high-volume production environments.
  • Ensure data privacy, security, and ethical AI practices are adhered to in all deployments.
  • Stay ahead of the curve on emerging AI technologies and integrate them into our roadmap.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with large language models (LLMs) and prompt engineering.
  • Proven track record of deploying AI models to cloud infrastructure (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning LLMs AWS GCP Neural Networks NLP Model Deployment

Ready to Take This Challenge?

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