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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect

Nebula Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems. At Nebula Systems, we are building the infrastructure that will define the technological landscape of 2026 and beyond. You will be at the forefront of research and engineering, designing scalable machine learning models that power intelligent applications across the globe. If you are passionate about the future of AI and want to solve complex problems at scale, we want to hear from you.


Why Join Us?
We offer a competitive compensation package, comprehensive health benefits, and the opportunity to work with a world-class team of engineers and data scientists. We are committed to fostering an inclusive environment where innovation thrives.

Responsibilities

  • Architect and implement scalable AI infrastructure and machine learning pipelines.
  • Lead the research and development of cutting-edge generative models and large language models.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments seamlessly.
  • Optimize algorithms for real-time inference and low-latency performance on edge devices.
  • Define technical standards and best practices for the AI engineering team.
  • Conduct rigorous testing, validation, and monitoring of model accuracy, safety, and bias.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.

Qualifications

  • Master’s degree in Computer Science, Data Science, or a related field; PhD preferred.
  • 5+ years of experience in software engineering and machine learning development.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Deep Learning architectures (Transformers, GANs, RNNs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and ability to lead technical discussions.
  • Experience with MLOps tools (MLflow, Kubeflow) and model versioning.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Computing AWS GCP MLOps AI Architecture Generative AI NLP

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