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Senior AI Architect - Project 2026

Aether Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our Project 2026 initiative, a revolutionary generative intelligence platform designed to redefine human-machine collaboration. At Aether Dynamics, we don't just build software; we engineer the future. In this pivotal role, you will bridge the gap between theoretical research and production-scale deployment, ensuring our next-generation models are not only powerful but also ethical, scalable, and secure.

If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to leave a lasting impact on the industry, we want to meet you.

Responsibilities

  • Spearhead the architectural design and implementation of the Project 2026 neural engine, ensuring high performance and scalability.
  • Lead a team of data scientists and engineers to optimize deep learning models for real-time inference and low latency.
  • Define and enforce best practices for data governance, model security, and ethical AI deployment.
  • Collaborate closely with product managers and stakeholders to translate complex technical requirements into actionable technical roadmaps.
  • Conduct rigorous research and prototyping to evaluate emerging technologies and frameworks relevant to 2026 tech stacks.
  • Mentor junior engineers and foster a culture of continuous learning and innovation within the engineering team.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in software engineering, with at least 3 years in leading AI/ML architecture.
  • Expert proficiency in Python, PyTorch, and TensorFlow, with deep knowledge of distributed computing systems.
  • Strong experience designing and deploying large-scale language models or generative adversarial networks (GANs).
  • Demonstrated ability to lead cross-functional teams and manage complex technical projects from conception to delivery.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing Docker Kubernetes AWS GCP NLP Generative AI

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