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Senior AI Architect (2026 Vision)

Nebula Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future?

Nebula Dynamics is pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI Architect (2026 Vision) to lead our cutting-edge research division. In this role, you won't just build models; you will define the ethical frameworks, scalable infrastructure, and generative paradigms that will define the technological landscape of 2026 and beyond.

We are looking for a thought leader who combines deep technical mastery with a passion for responsible AI development. If you thrive in high-stakes environments and are ready to push the boundaries of what is possible, we want to hear from you.

Responsibilities

  • Spearhead the architectural design and implementation of next-gen Large Language Models (LLMs) and multimodal AI systems.
  • Oversee the integration of quantum computing principles into classical machine learning pipelines.
  • Establish and enforce robust data governance, security, and ethical AI compliance standards.
  • Lead a high-performance team of data scientists and ML engineers in optimizing model inference speeds.
  • Collaborate cross-functionally with product teams to translate complex AI capabilities into user-centric solutions.
  • Research and prototype novel algorithms that solve unsolved problems in natural language processing and computer vision.

Qualifications

  • Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, C++, and Rust, with proven experience in distributed systems.
  • Extensive knowledge of neural network architectures, transformers, and optimization techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strong understanding of AI ethics, bias mitigation, and regulatory compliance (e.g., GDPR, AI Act).

Required Skills

Artificial Intelligence Machine Learning Python Distributed Systems Cloud Computing NLP Deep Learning Quantum Computing Ethics in AI

Ready to Take This Challenge?

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