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Staff Applied AI Engineer - Enterprise AI Solutions

Snorkel AINew York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)220 - Solutions PS
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Salary
$230K - $360K
Job type
Full-time
Work mode
Remote
Experience
Senior · 3+ yrs
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

This role suits an applied AI professional who enjoys solving complex problems, working directly with customers, and keeping up to date with artificial intelligence research. Based in New York City or San Francisco on a hybrid schedule, or remotely across the United States, the Staff Applied AI Engineer position involves researching and utilizing generative artificial intelligence and machine learning techniques to deliver solutions for customers.

Role Overview

The Staff Applied AI Engineer position at Snorkel AI involves researching and utilizing state-of-the-art generative artificial intelligence and machine learning techniques to successfully deliver solutions to customers. The professional in this role will work directly with clients to understand business and technical needs, design and deliver artificial intelligence solutions, and help define tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities.

Key Responsibilities

Partner with customers to build and deploy generative artificial intelligence and machine learning solutions, covering use case scoping, data exploration, model development, and deployment.
Develop and implement state-of-the-art artificial intelligence systems including retrieval-augmented generation, fine-tuning pipelines, prompt engineering recipes, and agentic workflows.
Create augmented real-world datasets and comprehensive evaluation workflows to guarantee model reliability, transparency, and stakeholder trust.
Build and manage relationships with customer leadership and stakeholders to ensure successful development and deployment of artificial intelligence projects.
Collaborate with pre-sales solutions and product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide project setup.
Work alongside other applied artificial intelligence engineers to standardize solutions and contribute to internal tooling and best practices.
Lead stakeholder education on quantitative capabilities, explaining the strengths and weaknesses of different approaches.
Serve as the customer voice for new artificial intelligence paradigms and data science workflows by sharing feedback with product teams.
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers.
Travel up to 25 percent annually.

Requirements

Bachelor of Science degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or a comparable degree and experience.
Three or more years of customer-facing experience in the design and implementation of artificial intelligence and machine learning solutions.
Proficiency in Python along with a strong foundation in software engineering fundamentals and modern constructs.
Experience with type validation, typed data modeling, type-safe systems, testing, packaging, environment configuration, API and service frameworks, serialization, structured data handling, and orchestration tooling.
Expertise across the applied artificial intelligence stack, including classical machine learning libraries, deep learning frameworks, foundation-model ecosystems, vector and embedding tooling, data processing frameworks, retrieval tooling, synthetic dataset curation, evaluation workflows, and large language model orchestration tools.
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders.
Presentation skills tailored to technical and executive audiences.
Ability to work in a fast-paced environment and balance priorities across multiple projects simultaneously.

Skills and Tools

Python
Pydantic
Mypy
Pytest
Poetry
FastAPI
Msgspec
Ray
Airflow
Scikit-learn
PyTorch
Hugging Face Transformers
FAISS
Pandas
Spark
Chroma
Weaviate
LlamaIndex
LangGraph
CrewAI

Salary and Benefits

The compensation range for Tier 1 locations such as the San Francisco Bay Area is $172K to $300K OTE, with actual salary ranges listed up to $300,000 USD. All offers include equity in the form of employee stock options. Individual pay is determined by work location, role, level, job-related skills, experience, and relevant education or training.

About the Company

Snorkel AI is a frontier artificial intelligence data lab founded out of the Stanford AI Lab in 2019. The company helps teams build data and environments behind high-performing frontier and agentic artificial intelligence by combining technology with research-driven artificial intelligence data development to create datasets, benchmarks, evaluations, and custom solutions.

How to Apply

Apply on the official company careers page.

Skills and tech stack

Questions candidates ask

What locations are available for this job?

The position is available as a hybrid role in New York City, New York, or San Francisco, California, as well as fully remote across the United States.

What is the salary range for the role?

The compensation range for Tier 1 locations such as the San Francisco Bay Area is $172K to $300K OTE, with overall salary ranges up to $300,000 USD, plus employee stock options.

How much travel is required?

The role requires annual travel of up to 25%.

What level of experience is required?

Candidates must have 3 or more years of customer-facing experience in the design and implementation of AI and machine learning solutions.

What educational background is preferred?

A B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or a comparable degree and experience is preferred.

Ready to apply?

The application is on the official Snorkel AI careers page.

Apply on company site