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Lead AI Architect

Aetheria AI
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to shape the trajectory of Artificial General Intelligence (AGI)? Aetheria AI is looking for a visionary Lead AI Architect to spearhead our 2026 roadmap.

We are building the next generation of autonomous systems. In this pivotal role, you will design the core neural infrastructure, optimize large-scale model training pipelines, and define the technical vision that will define the industry standard for the coming decade.

If you thrive in ambiguity and possess the technical prowess to architect systems that scale to billions of parameters, we want to meet you.

Responsibilities

  • Architectural Leadership: Design and implement the foundational AI infrastructure supporting our next-gen Generative AI products.
  • Model Optimization: Spearhead research into model compression, quantization, and edge deployment strategies for real-time inference.
  • Technical Strategy: Define the 2026 technical roadmap, evaluating new frameworks (e.g., JAX, PyTorch 2.0) and hardware accelerators (GPUs, TPUs).
  • Team Mentorship: Guide a team of senior ML engineers and researchers, fostering a culture of innovation and technical excellence.
  • Production Maturity: Oversee the transition from prototype to production, ensuring high availability, fault tolerance, and security standards.
  • Research & Development: Collaborate with academic partners to stay ahead of the curve in breakthrough AI methodologies.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering, with a minimum of 5 years dedicated to AI/ML systems architecture.
  • Technical Stack: Deep proficiency in Python, C++, and at least one major deep learning framework (PyTorch or TensorFlow).
  • Cloud Mastery: Extensive experience designing distributed systems on AWS, GCP, or Azure using Kubernetes and containerization technologies.
  • Problem Solving: Demonstrated ability to solve complex performance bottlenecks and scale training clusters efficiently.
  • Communication: Exceptional ability to translate complex technical concepts into clear strategic roadmaps for stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps Kubernetes AWS GCP NLP Computer Vision System Design

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