Staff Applied AI Engineer - Enterprise AI Solutions
New York City, NY (Hybrid) · San Francisco, CA (Hybrid) · Remote · New York City · San Francisco · USD 230,000-360,000 · 3+ years experience · Posted Oct 6, 2026
At a glance
- Experience
- 3+ years experience
- Location
- New York City, NY (Hybrid) · San Francisco, CA (Hybrid) · Remote · New York City · San Francisco
- Salary
- USD 230,000-360,000 · OTE
About the role
- As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning techniques to successfully deliver solutions to our customers.
- You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them.
- This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, and keeping up-to-date with AI research.
Responsibilities
- Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment.
- Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows.
- Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust.
- Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects.
- Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup.
- Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices.
- Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI.
- Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams.
- Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI.
- Annual travel up to 25%.
Preferred qualifications
- B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience.
- 3+ years of customer-facing experience in the design and implementation of AI/ML solutions.
- Proficiency in Python, including strong grounding in software engineering fundamentals and experience with modern Python constructs and libraries for type validation and typed data modeling, building type-safe systems, testing, packaging and environment configuration, API and service frameworks, serialization and structured data handling, and orchestration tooling relevant to ML deployment.
- Expertise across the Applied AI stack, spanning classical ML libraries, deep learning frameworks, foundation-model ecosystems, vector/embedding tooling, data processing frameworks, retrieval/RAG tooling, synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools.
- Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement.
- Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Ability to work in a fast-paced environment and balance priorities across multiple projects at once.
Benefits
- Equity included in all offers
Workplace
- Hybrid workplace model available in New York City, NY and San Francisco, CA.
- Remote workplace option available within the United States.
- Annual travel up to 25% required.
Skills
- Python
- Pydantic
- Mypy
- Pytest
- Poetry
- FastAPI
- Msgspec
- Ray
- Airflow
- Scikit-learn
- PyTorch
- Hugging Face Transformers
Show all 15 skills
- FAISS
- Pandas
- Spark
