Senior/Staff Applied AI Engineer - Enterprise AI Solutions

The role

You will research and utilize Gen AI and machine learning techniques to deliver solutions to customers. You will design and deploy AI systems, create datasets and evaluation workflows, and translate customer needs into reusable solution recipes and platform capabilities.

What you will do

• Partner with customers to build and deploy Gen AI and machine learning solutions.
• Develop and implement AI systems such as RAG, fine-tuning pipelines, prompt engineering, and agentic workflows.
• Create augmented real-world datasets and evaluation workflows.
• Forge and manage relationships with customer leadership and stakeholders.
• Collaborate with pre-sales Solutions and Product teams to map customer needs to capabilities.
• Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling.
• Lead stakeholder education on quantitative capabilities.
• Serve as the voice of customers for new AI paradigms and data science workflows.
• Conduct enablement workshops to transfer knowledge to customers.

Required qualifications

• Ability to work in a fast-paced environment and balance priorities across multiple projects at once.

Nice to have

• B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
• 8+ years of customer-facing experience in the design and implementation of AI/ML solutions
• Proficiency in Python, including software engineering fundamentals and experience with libraries like pydantic, mypy, pytest, poetry, FastAPI, msgspec, Ray, or Airflow
• Expertise across the Applied AI stack including scikit-learn, PyTorch, Hugging Face Transformers, FAISS, pandas, Spark, Chroma, Weaviate, LlamaIndex, LangGraph, or CrewAI
• Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
• Outstanding presentation skills to technical and executive audiences

Benefits

• Equity

About the company

Snorkel AI is a frontier AI data lab that helps teams build the data and environments behind high-performing frontier and agentic AI. Founded out of the Stanford AI Lab in 2019, the company works with leading AI labs and enterprises.