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Senior AI Architect: Future of Intelligence

Aether 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are at the forefront of technological evolution. Aether 2026 is seeking a visionary Senior AI Architect to define the architecture of our next-generation intelligent systems. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are robust, ethical, and ready for the future.

Why Join Us?

Work in a cutting-edge environment focused on solving complex problems for the year 2026 and beyond. We offer competitive compensation, equity, and the chance to shape the future of AI.

The Role

You will lead technical initiatives, mentor high-performing engineering teams, and architect solutions that push the boundaries of what is possible.

Responsibilities

  • Design and implement scalable, high-performance AI and machine learning infrastructure using modern cloud-native architectures.
  • Lead the research and development of Generative AI models, optimizing for speed, accuracy, and resource efficiency.
  • Define technical roadmaps and best practices for AI engineering, ensuring alignment with business goals.
  • Collaborate with cross-functional teams, including product managers, data scientists, and designers, to translate complex requirements into technical specifications.
  • Ensure AI systems adhere to ethical guidelines and data privacy regulations.
  • Conduct code reviews and provide mentorship to junior and senior engineers alike.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related field.
  • Minimum of 8 years of experience in software engineering and machine learning architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven experience in designing MLOps pipelines and large-scale distributed systems.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch AWS Machine Learning Deep Learning MLOps Kubernetes Docker System Architecture Leadership

Ready to Take This Challenge?

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

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