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Senior AI Architect – 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future? Aether Dynamics is seeking a visionary Senior AI Architect to drive our next-generation initiatives for the year 2026 and beyond. We are building the infrastructure that will define the next era of intelligent automation.

In this role, you will bridge the gap between cutting-edge research and production-grade engineering. You will lead a team of talented engineers in deploying state-of-the-art AI solutions that are scalable, secure, and efficient.

Why Join Us?

  • Work on projects that directly impact the trajectory of AI technology.
  • Competitive compensation package ($160k - $220k USD).
  • Flexible remote-first policy with quarterly team meetups in SF.

Core Responsibilities:

  • Design and implement scalable AI architectures for autonomous agents and predictive systems.
  • Lead the integration of Large Language Models (LLMs) into core product workflows.
  • Optimize deep learning models for high-performance edge deployment and real-time inference.
  • Define technical roadmaps and best practices for MLOps and data governance.
  • Collaborate with product and engineering teams to translate business needs into technical solutions.
  • Mentor junior developers and engineers in advanced AI engineering concepts.

Qualifications:

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI Research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of Transformer architectures, NLP, and reinforcement learning.
  • Proven track record of delivering complex AI systems in production environments.

Responsibilities

  • Design and implement scalable AI architectures for autonomous agents and predictive systems.
  • Lead the integration of Large Language Models (LLMs) into core product workflows.
  • Optimize deep learning models for high-performance edge deployment and real-time inference.
  • Define technical roadmaps and best practices for MLOps and data governance.
  • Collaborate with product and engineering teams to translate business needs into technical solutions.
  • Mentor junior developers and engineers in advanced AI engineering concepts.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning Engineering or Applied AI Research.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of Transformer architectures, NLP, and reinforcement learning.
  • Proven track record of delivering complex AI systems in production environments.

Required Skills

AI Machine Learning Python PyTorch TensorFlow MLOps Kubernetes NLP Deep Learning AWS GCP Cloud Architecture Data Science Autonomous Agents

Ready to Take This Challenge?

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

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