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Senior AI Architect (2026 Vision)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are looking for a visionary Senior AI Architect to lead the development of our proprietary technology stack for the 2026 roadmap. At Nebula Dynamics, we are building the infrastructure that will define the future of intelligent automation. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and predictive analytics, we want to hear from you.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our AI solutions are scalable, ethical, and transformative.

Why Join Nebula Dynamics?

  • Work on cutting-edge AI projects that impact millions globally.
  • Competitive salary and equity package.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect and implement scalable machine learning pipelines for next-generation AI products.
  • Lead research initiatives into Large Language Models (LLMs) and fine-tuning strategies.
  • Optimize model performance, latency, and throughput for real-time applications.
  • Establish best practices for data governance, MLOps, and model deployment.
  • Collaborate with cross-functional teams including product managers, designers, and data scientists.
  • Ensure AI systems adhere to ethical guidelines and regulatory standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with 3+ years in a lead or architect role.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of deep learning architectures (Transformers, GANs, RNNs).
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Strong track record of deploying ML models to production environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS GCP Docker Kubernetes MLOps San Francisco California

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