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Senior AI Architect - Agentic AI & LLMs

Aether Systems
Seattle
Estimated Salary
USD 195.000 – USD 275.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

At Aether Systems, we are not just building software; we are architecting the future of autonomous intelligence. We are seeking a Senior AI Architect to spearhead the development of our next-generation Agentic AI Ecosystem. As we prepare for the technological landscape of 2026, you will be at the forefront of integrating Large Language Models (LLMs) into autonomous decision-making workflows, pushing the boundaries of what is possible in Generative AI. You will define the technical vision, mentor a team of elite engineers, and deliver solutions that redefine industry standards.

Responsibilities

  • Architect and deploy scalable, autonomous AI agents capable of complex multi-step reasoning and task execution.
  • Design and optimize high-performance Retrieval-Augmented Generation (RAG) pipelines to ensure accuracy and relevance.
  • Implement advanced MLOps strategies for continuous model training, fine-tuning, and versioning.
  • Collaborate with product and engineering teams to translate technical requirements into innovative, user-centric AI solutions.
  • Ensure the ethical and responsible deployment of AI models, mitigating bias and ensuring compliance.
  • Research and evaluate emerging LLM architectures and frameworks to maintain a competitive edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience building and deploying production-grade AI applications.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern LLM frameworks (Hugging Face, LangChain, LlamaIndex).
  • Strong proficiency in distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/K8s).
  • Proven track record of leading technical teams and driving architectural decisions.

Required Skills

Python Machine Learning LLMs PyTorch TensorFlow RAG MLOps Docker Kubernetes AWS Generative AI

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