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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

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

Job Description

Are you ready to architect the future of intelligence? At Aether Dynamics, we are pioneering the 2026 vision for AI-driven enterprise solutions. We are seeking a visionary Senior AI Architect to lead our next-generation development team in designing systems that will define the technological landscape of the coming decade.

In this role, you will not just build models; you will build the infrastructure that supports the evolution of artificial general intelligence. You will work at the intersection of deep learning, scalable cloud architecture, and ethical AI implementation.

Responsibilities

  • Architect the 2026 Roadmap: Define the technical vision and architectural strategy for our upcoming AI infrastructure releases.
  • Model Development: Design and implement cutting-edge deep learning models, focusing on LLMs and generative AI agents.
  • System Optimization: Lead initiatives to optimize inference speeds and reduce computational costs in production environments.
  • Technical Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and best practices.
  • Integration: Oversee the seamless integration of AI models into our core product suite and third-party APIs.
  • Research: Stay ahead of industry trends to incorporate emerging technologies into our stack.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering with at least 4 years dedicated to machine learning and AI architecture.
  • Programming: Expert proficiency in Python, C++, and major ML frameworks (TensorFlow, PyTorch, JAX).
  • Cloud Expertise: Strong background in cloud architecture (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP) and Computer Vision.

Required Skills

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

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