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AI Architect (2026 Vision) | San Francisco, CA

Aether Systems Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to engineer the intelligence of tomorrow? Aether Systems Inc. is seeking a visionary AI Architect (2026 Vision) to lead the development of next-generation artificial intelligence systems. We are building the foundational models that will define the digital landscape of 2026 and beyond. In this role, you will not just use existing tools; you will shape the architectures that power autonomous agents, multimodal LLMs, and predictive ecosystems.

Join our elite team of researchers and engineers in San Francisco, where innovation meets execution. You will be at the forefront of the AI revolution, ensuring our solutions are scalable, ethical, and revolutionary.

Responsibilities

  • Architect and design scalable, high-performance AI systems capable of handling exascale data processing for 2026 workloads.
  • Lead the research and implementation of advanced Large Language Models (LLMs) and Multimodal AI frameworks.
  • Optimize model inference performance and reduce latency for real-time AI applications.
  • Establish best practices for MLOps, data governance, and model deployment pipelines.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Conduct rigorous testing and validation to ensure AI safety, bias mitigation, and ethical compliance.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning and natural language processing.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of transformer architectures, attention mechanisms, and vector databases.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills with the ability to navigate ambiguity in a fast-paced, startup environment.

Required Skills

Python PyTorch TensorFlow LLMs NLP MLOps Machine Learning Deep Learning Cloud Computing Kubernetes Docker

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