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Senior AI Architect 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you ready to shape the technological landscape of the future? Aether Dynamics is seeking a visionary Senior AI Architect to lead our mission towards the 2026 horizon. We are building the next generation of autonomous systems and generative AI models that will redefine industries.

In this role, you won't just be maintaining legacy systems; you will be architecting the core intelligence infrastructure that will power our products for the next decade. If you have a passion for pushing the boundaries of what is possible with Artificial Intelligence, we want to hear from you.

Responsibilities

  • Architect Future-Proof Systems: Design scalable, robust, and secure AI infrastructures capable of handling millions of transactions.
  • Lead Research & Development: Spearhead the development of cutting-edge algorithms, focusing on deep learning and natural language processing.
  • Model Optimization: Implement techniques to reduce latency and improve inference accuracy for real-time applications.
  • Strategic Roadmapping: Define the technical roadmap and AI strategy to align with company goals for the 2026 timeframe.
  • Collaboration: Partner with cross-functional teams including product managers, data scientists, and software engineers.
  • Mentorship: Mentor junior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of professional experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS, GCP, or Azure) is required.
  • Specialized Knowledge: Proven track record of deploying Large Language Models (LLMs) or Computer Vision systems in production environments.
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Language: Native fluency in English.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS GCP Natural Language Processing System Architecture

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