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Lead AI Architect – Shaping the Future of 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technological landscape of the year 2026? Aether Dynamics is seeking a visionary Lead AI Architect to spearhead our next-generation predictive modeling and artificial general intelligence (AGI) initiatives. In this pivotal role, you won't just be writing code; you will architect the foundational systems that will power the future of enterprise intelligence.

We are looking for a thought leader who thrives at the intersection of deep learning, neural architectures, and scalable cloud infrastructure. If you have a passion for pushing the boundaries of what AI can achieve in the coming decade, we want to hear from you.

Responsibilities

  • Architect and deploy scalable Machine Learning pipelines capable of handling petabyte-scale data.
  • Lead research initiatives focused on Long-Range Memory Networks and next-gen Transformers.
  • Define the technical roadmap for AGI capabilities to be realized by 2026.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Ensure ethical AI practices and regulatory compliance in all deployed models.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of professional experience in Machine Learning and Deep Learning engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Proven track record of designing large-scale distributed systems and MLOps architectures.
  • Strong background in NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps Cloud Computing CUDA AGI Neural Networks

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