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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Initiative

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

Job Description

We are on the forefront of the 2026 Tech Revolution, redefining the boundaries of artificial intelligence and machine learning. Nebula Dynamics is seeking a visionary Senior AI Architect to lead our core engineering team in building the systems that will power the next generation of digital intelligence.


In this role, you won't just be maintaining legacy systems; you will be architecting the infrastructure for a future year 2026. You will work with state-of-the-art Large Language Models, generative AI, and predictive analytics to create scalable, secure, and ethical solutions for global enterprise clients.


Why Join Us?
• Work on forward-looking projects that shape the 2026 landscape.
• Competitive equity package and top-tier compensation.
• Flexible remote-first culture with a premium San Francisco office.

Responsibilities

  • Architect and design scalable AI infrastructure specifically tailored for the 2026 roadmap and beyond.
  • Lead the development and deployment of advanced machine learning models and neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business needs into technical solutions.
  • Optimize existing data pipelines for high performance and reduced latency in real-time environments.
  • Ensure system security, data privacy, and compliance with international AI regulations.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of professional experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Proven experience designing and deploying Large Language Models (LLMs) and Generative AI applications.
  • Strong understanding of cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with MLOps, data engineering, and high-availability system design.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, startup environment.

Required Skills

Python Artificial Intelligence Machine Learning Deep Learning LLMs TensorFlow PyTorch AWS GCP Docker Kubernetes MLOps Data Engineering System Architecture

Ready to Take This Challenge?

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