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Senior AI Architect: The 2026 Vision

Aetheria Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027



Job Description

We are not merely building software; we are architecting the digital consciousness of the next decade. Aetheria Innovations is seeking a visionary Senior AI Architect to lead the development of our flagship '2026' generative intelligence platform. In this role, you will define the architectural standards for next-generation Large Language Models (LLMs) and autonomous agents. If you are passionate about the frontier of Artificial General Intelligence (AGI) and want to shape the technology stack of tomorrow, this is your opportunity to lead.

Why Join Us?
We offer a competitive benefits package, including stock options, remote-first flexibility, and access to cutting-edge compute resources. You will work alongside the brightest minds in the tech industry to solve problems that were once thought impossible.

Responsibilities

  • Design and implement scalable, fault-tolerant architectures for Large Language Models and AI agents.
  • Lead research initiatives to optimize model inference speeds and reduce energy consumption for 2026-era workloads.
  • Collaborate with product teams to translate complex AI capabilities into user-centric features.
  • Mentor junior engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Ensure data privacy, security, and ethical AI compliance across all deployment pipelines.
  • Stay ahead of industry trends in Deep Learning, Reinforcement Learning, and Edge AI.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior architecture role.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with fine-tuning LLMs (e.g., GPT, Llama) and implementing RAG pipelines.
  • Strong problem-solving skills with a focus on algorithmic efficiency and scalability.

Required Skills

Artificial Intelligence Machine Learning LLMs Python PyTorch TensorFlow Neural Networks Deep Learning AGI Distributed Systems AWS Docker Kubernetes

Ready to Take This Challenge?

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