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Senior AI Architect (2026 Horizon)

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

Job Description

Architecting the Future of Intelligence

Welcome to Nebula Dynamics. We are not just predicting the future; we are building the technology stack for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to lead our next-generation neural infrastructure projects. This is a high-impact role where you will define the ethical guidelines, technical architecture, and scalability standards for our upcoming AI ecosystem.

Why Join Us?

  • Work on cutting-edge Generative AI and Quantum-Ready models.
  • Competitive equity package and top-tier health benefits.
  • Flexible remote-first policy with quarterly innovation sprints in SF.

Your Mission

You will bridge the gap between theoretical AI research and production-grade systems. You will ensure our platforms are resilient, scalable, and ready to handle the data demands of the 2026 digital landscape.

Responsibilities

  • Design Core Architecture: Define the high-level structure for next-gen neural networks and distributed AI systems.
  • Lead Ethical AI: Establish frameworks for bias mitigation, transparency, and safety in automated decision-making systems.
  • Quantum Integration: Collaborate with quantum computing teams to prepare AI models for post-silicon era processing.
  • Team Leadership: Mentor a team of ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • System Optimization: Oversee the deployment of large-scale language models (LLMs) ensuring sub-millisecond latency.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 8+ years of experience in software engineering, with at least 4 years focused on Artificial Intelligence and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch/TensorFlow, and familiarity with distributed systems (Kubernetes, AWS/GCP).
  • Future-Proofing: Demonstrated ability to prototype and implement concepts ahead of industry trends.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Neural Networks Python PyTorch Cloud Architecture Distributed Systems Ethics in AI

Ready to Take This Challenge?

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

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