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Senior AI Architect: 2026 Visionary

Aether Dynamics
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are pioneering the future of intelligent systems. As we approach the pivotal year of 2026, we are seeking a visionary Senior AI Architect to lead our next-generation research initiatives. This role requires a unique blend of deep technical expertise and strategic foresight to architect solutions that define the next era of human-machine interaction.

At Aether Dynamics, we don't just predict the future; we build it. If you are driven by complexity and inspired by the limitless potential of Artificial General Intelligence (AGI), we want to hear from you.

Responsibilities

  • Architect and oversee the development of next-generation neural network architectures designed for the 2026 market landscape.
  • Lead the strategic roadmap for integrating Quantum AI with classical machine learning models.
  • Define technical standards and best practices for scalable, ethical AI deployment across global infrastructure.
  • Mentor a high-performing team of data scientists and machine learning engineers to foster a culture of innovation.
  • Collaborate with cross-functional product teams to translate complex research concepts into robust, production-ready software.
  • Evaluate emerging technologies and research papers to ensure our platform remains at the forefront of the industry.

Qualifications

  • 10+ years of experience in software engineering, with a minimum of 5 years specializing in Artificial Intelligence and Machine Learning.
  • Strong proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Deep understanding of Deep Reinforcement Learning, Natural Language Processing (NLP), and Computer Vision.
  • Experience with edge computing and optimizing models for latency-constrained environments.
  • Proven track record of leading engineering teams through complex architectural transitions.
  • PhD in Computer Science, Artificial Intelligence, or a related field is highly preferred.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Neural Networks Kubernetes AWS Leadership Agile

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