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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the forefront of the technological revolution, building the systems that will define the 2026 landscape. Nebula Dynamics is seeking a visionary Senior AI Architect to lead the development of next-generation machine learning infrastructure. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to shape the future of our industry, we want to hear from you.

In this role, you will not just implement existing solutions; you will architect the foundation for the technologies of tomorrow. You will work with a world-class team of engineers, data scientists, and product leaders to deliver scalable, robust, and ethical AI systems.

Why join us?

  • Competitive equity package and performance bonuses.
  • Flexible remote-first work culture.
  • Access to cutting-edge hardware and cloud infrastructure.
  • Opportunity to define the technical roadmap for 2026 and beyond.

Responsibilities

  • Design and implement scalable, high-performance AI/ML architectures for large-scale distributed systems.
  • Lead the technical strategy for the 2026 roadmap, focusing on Generative AI and Neural Network optimization.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure the scalability, security, and efficiency of all deployed models.
  • Conduct code reviews and establish best practices for AI engineering.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 7+ years of experience in software engineering, with at least 4 years specifically in Artificial Intelligence and Machine Learning.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar ML frameworks.
  • Proven experience designing MLOps pipelines and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of Deep Learning, NLP, or Computer Vision.
  • Experience leading engineering teams and managing technical projects.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP Neural Networks System Design Leadership

Ready to Take This Challenge?

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