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Senior AI Architect: Project 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to engineer the future? Aether Dynamics is seeking a visionary Senior AI Architect to spearhead Project 2026, our groundbreaking initiative into next-generation neural interfaces and quantum-assisted machine learning. In this pivotal role, you will design the architectural blueprints for systems that will define the technological landscape of the decade.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to turn science fiction into reality. If you are passionate about pushing the boundaries of what is possible in AI, we want to hear from you.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure and neural network architectures for Project 2026.
  • Lead the research and development of cutting-edge algorithms, focusing on large language models and generative AI.
  • Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams—including product managers, hardware engineers, and designers—to align technical roadmaps with business objectives.
  • Identify and mitigate technical risks, ensuring robust deployment of models in production environments.
  • Stay at the forefront of industry trends, publishing research and contributing to the open-source community where applicable.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Minimum of 7+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale machine learning systems in production.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and MLOps practices.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python PyTorch TensorFlow Cloud Computing MLOps Distributed Systems Quantum Computing System Architecture

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