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Lead AI Architect: 2026 Vision

Aether Dynamics Corp
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join the Architects of the Future.

At Aether Dynamics, we are not just predicting the future; we are architecting it. As we approach the pivotal year of 2026, our vision is to redefine the boundaries of human-machine interaction through advanced Artificial General Intelligence (AGI). We are seeking a visionary Lead AI Architect to spearhead our core infrastructure and guide our R&D strategy toward a seamless, intelligent digital ecosystem.

If you are passionate about solving complex problems at the intersection of ethics and engineering, and you want to define the standard for AI in the year 2026, we want to meet you.

Responsibilities

  • Define and execute the technical roadmap for the 2026 AI evolution, focusing on scalability and generative capabilities.
  • Lead the design, development, and deployment of large-scale machine learning infrastructure.
  • Oversee the research and integration of next-generation neural network architectures.
  • Establish and enforce best practices for data privacy, security, and ethical AI governance.
  • Collaborate with cross-functional product teams to translate high-level concepts into technical specifications.
  • Mentor and mentor a team of senior data scientists and ML engineers.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a lead technical architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven track record of implementing state-of-the-art Large Language Models (LLMs) and generative AI.
  • Strong understanding of MLOps, cloud architecture (AWS/GCP), and Kubernetes.
  • Exceptional leadership skills with the ability to drive vision and inspire high-performance teams.

Required Skills

Machine Learning Deep Learning Python PyTorch TensorFlow Cloud Architecture MLOps AI Ethics Generative AI Kubernetes

Ready to Take This Challenge?

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