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Lead AI Architect: The 2026 Standard

Aether Dynamics
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Shape the Intelligence of Tomorrow. At Aether Dynamics, we are engineering the cognitive architecture for the year 2026. We are seeking a visionary Lead AI Architect to pioneer the next generation of Generative AI systems. If you are passionate about pushing the boundaries of Large Language Models (LLMs), Multi-Agent Systems, and autonomous intelligence, this is your chance to define the future of technology.

As a key architect, you will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are not just advanced, but ethical, safe, and transformative.

Responsibilities

  • Architect Advanced AI Solutions: Design and deploy cutting-edge Generative AI pipelines using state-of-the-art Transformer architectures and LLMs.
  • Lead R&D Initiatives: Spearhead research into Multi-Agent frameworks and reinforcement learning to solve complex, real-world problems.
  • Optimize Performance: Engineer high-performance inference systems for both cloud and edge environments, maximizing throughput and minimizing latency.
  • Collaborate & Innovate: Partner with product and engineering teams to integrate AI capabilities into core product ecosystems seamlessly.
  • Ethical AI Governance: Establish and enforce best practices for AI safety, bias mitigation, and responsible data usage.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling (Docker, Kubernetes, MLflow).
  • Domain Expertise: Deep understanding of Transformer models, fine-tuning methodologies, and Retrieval-Augmented Generation (RAG).
  • Infrastructure: Hands-on experience with vector databases (Pinecone, Weaviate) and cloud infrastructure (AWS/GCP).

Required Skills

Generative AI Large Language Models (LLMs) PyTorch Python MLOps Machine Learning Deep Learning NLP RAG Transformers AI Architecture

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