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AI Architect (2026 Vision) | San Francisco, CA

OmniStream Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are at the precipice of a new era in artificial intelligence. OmniStream Technologies is seeking a visionary AI Architect (2026 Vision) to design the neural infrastructures of tomorrow. If you are passionate about pushing the boundaries of Generative AI, Neuromorphic computing, and scalable machine learning ecosystems, we want to hear from you.


Why Join Us?

  • Work with cutting-edge technology that defines the future.
  • Competitive compensation package with equity options.
  • Remote-first culture with access to top-tier hardware labs.

Your Mission:

Architect robust, fault-tolerant AI systems capable of processing exabytes of data in real-time. You will lead the technical strategy for our proprietary LLMs and autonomous agent frameworks.

Responsibilities

  • Design and implement scalable machine learning pipelines for next-gen AI models.
  • Lead research initiatives into emerging AI paradigms such as Quantum ML and Neuromorphic engineering.
  • Mentor a team of elite engineers and data scientists.
  • Optimize model inference speeds to achieve sub-millisecond latency.
  • Collaborate with product teams to translate complex AI capabilities into user-friendly applications.
  • Ensure ethical AI practices and data privacy compliance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in machine learning engineering or AI architecture.
  • Deep expertise in PyTorch, TensorFlow, and distributed computing frameworks.
  • Proven track record of deploying large-scale production AI models.
  • Experience with LLM fine-tuning, RAG architectures, and prompt engineering.
  • Strong grasp of vector databases and semantic search technologies.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Cloud Architecture Kubernetes AI Ethics

Ready to Take This Challenge?

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

Apply Now

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