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Senior AI Architect - 2026 Horizon

Nebula Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for visionary engineers to help define the technological landscape of 2026 and beyond. Nebula Core Systems is at the forefront of integrating generative AI with scalable infrastructure. As a Senior AI Architect, you will lead the charge in designing autonomous systems and predictive models that will revolutionize how industries interact with data.

In this role, you will bridge the gap between theoretical research and production-ready applications, ensuring our solutions are secure, ethical, and capable of handling the complexities of the future web.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first policy with a hub in San Francisco.

Responsibilities

  • Architect and implement scalable machine learning pipelines and neural network models.
  • Lead a team of data scientists and engineers in research and development initiatives.
  • Optimize algorithms for high-performance computing environments and edge devices.
  • Collaborate with product managers to translate business requirements into technical solutions.
  • Ensure the ethical deployment of AI, focusing on bias mitigation and data privacy.
  • Mentor junior staff and conduct code reviews to maintain high engineering standards.
  • Publish research papers and contribute to open-source AI communities.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 7 years of professional experience in AI/ML engineering.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Proven track record of deploying large-scale ML models in production environments.
  • Strong understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent problem-solving skills and ability to work in a fast-paced startup environment.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Neural Networks NLP Computer Vision Distributed Systems AWS Docker Kubernetes Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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