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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are not merely building software for today; we are architecting the technological infrastructure for the year 2026. Aether Dynamics is seeking a visionary Lead AI Architect to spearhead our next-generation generative intelligence platform. In this pivotal role, you will bridge the gap between theoretical machine learning and real-world quantum-ready infrastructure.

Join a team of elite engineers and researchers dedicated to pushing the boundaries of what is possible. You will have the autonomy to define architectural standards, mentor high-performing teams, and deploy models that will define the future of enterprise automation. If you are passionate about the convergence of Generative AI and scalable cloud systems, this is your stage.

Responsibilities

  • Architect and lead the development of scalable, high-performance AI infrastructure designed for future-proof scalability.
  • Define the technical vision for our 2026 roadmap, focusing on Generative Adversarial Networks (GANs) and Large Language Models (LLMs).
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems seamlessly.
  • Mentor and guide senior engineers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Optimize deep learning models for edge computing environments and distributed systems.
  • Conduct rigorous code reviews and establish best practices for deployment and monitoring.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering and machine learning, with at least 3 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Experience with cloud-native architectures (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Strong understanding of quantum computing principles and their application to classical AI problems is a plus.
  • Exceptional problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Kubernetes Docker AWS GCP Generative AI NLP

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