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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: Generative AI & LLMs

Nova Dynamics
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to define the future of machine intelligence. As we look toward 2026 and beyond, Nova Dynamics is building the infrastructure for the next generation of autonomous agents and generative workflows. You will lead a team of elite engineers in deploying state-of-the-art Large Language Models (LLMs) that power our enterprise solutions.

In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our models are scalable, efficient, and ethically sound.

Responsibilities

  • Design and architect scalable, high-throughput LLM inference pipelines using cloud-native technologies.
  • Lead the fine-tuning and RAG (Retrieval-Augmented Generation) strategy for proprietary data domains.
  • Optimize model latency and token costs to ensure cost-effective production deployment.
  • Collaborate with cross-functional teams to integrate AI capabilities into complex software ecosystems.
  • Establish best practices for MLOps, model monitoring, and data governance.
  • Conduct code reviews and mentor junior engineers in advanced deep learning architectures.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Deep understanding of transformer architectures, attention mechanisms, and prompt engineering.
  • Experience deploying models on Kubernetes, AWS SageMaker, or Google Cloud AI.
  • Strong background in statistics, linear algebra, and optimization theory.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

Required Skills

Generative AI LLM NLP Python PyTorch TensorFlow Hugging Face MLOps Kubernetes AWS SageMaker Machine Learning Architecture

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