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Senior AI Architect - 2026 Vision

Aether Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are building the infrastructure for the next decade. As we look toward the horizon of 2026, Aether Dynamics is seeking a visionary Senior AI Architect to lead our cutting-edge research into Generative AI and Autonomous Systems. You will be responsible for designing the robust, scalable backbone of our intelligent agents and ensuring they operate within strict ethical frameworks.

In this role, you won't just implement existing solutions; you will pioneer new methodologies for LLM optimization, edge computing integration, and quantum-ready neural networks. If you are ready to shape the future of technology and want to be at the forefront of the AI revolution, we want to hear from you.

Responsibilities

  • Architect and deploy scalable deep learning models for autonomous agents and decision-making systems.
  • Lead cross-functional teams in developing ethical AI frameworks and responsible AI governance.
  • Optimize large language models (LLMs) for real-time inference and low-latency applications.
  • Conduct research on emerging tech trends, including the intersection of AI and Quantum Computing.
  • Collaborate with hardware engineering teams to integrate edge computing solutions for decentralized AI.
  • Define technical roadmaps for AI infrastructure improvements and cloud migration strategies.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 10+ years of experience in AI/ML engineering with a proven track record of leading complex projects.
  • Deep expertise in Python, PyTorch, and TensorFlow, with hands-on experience in LLM fine-tuning (LoRA, QLoRA) and RAG architectures.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps pipelines and model versioning tools (MLflow, Weights & Biases).
  • Excellent communication skills and the ability to translate technical concepts for non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow LLM NLP Cloud Architecture MLOps Quantum Computing Edge Computing

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