Applied AI Engineer - Enterprise Solutions

Snorkel AI
New York, San Francisco
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: bachelorsSkills: ["Communication","Presentation","Leadership","Teaching","Stakeholder management"]

Applied AI Engineer to design and deliver Gen AI/ML solutions for customers, bridging AI technology and business value. You’ll prototype state-of-the-art tooling, build RAG and fine-tuning pipelines, create data-driven evaluation workflows, manage customer relationships, collaborate with pre-sales and product teams, and contribute to internal AI tooling. Role involves travel up to 25% in a fast-paced, customer-facing environment.

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FursaFursa
Snorkel AI
Snorkel AI
9 months ago

Applied AI Engineer - Enterprise Solutions

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Applied AI Engineer to design and deliver Gen AI/ML solutions for customers, bridging AI technology and business value. You’ll prototype state-of-the-art tooling, build RAG and fine-tuning pipelines, create data-driven evaluation workflows, manage customer relationships, collaborate with pre-sales and product teams, and contribute to internal AI tooling. Role involves travel up to 25% in a fast-paced, customer-facing environment.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key 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.
Travel: Low travel

Key Requirements

  • •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 software engineering fundamentals and modern Python tooling (e.g., pydantic, mypy, pytest, poetry), API/frameworks (e.g., FastAPI), serialization (e.g., msgspec), and ML deployment tooling (e.g., Ray, Airflow).
  • •Expertise across the Applied AI stack (scikit-learn, PyTorch, Hugging Face Transformers, FAISS, pandas, Spark, Chroma/Weaviate), data processing and LLM orchestration.
  • •Experience leading customer-facing initiatives, with strong teaching/enablement focus and excellent presentation skills.
Experience:3+ yearsAIGen AIMachine learningApplied AICustomer-facing
Education:Bachelor's
Skills:CommunicationPresentationLeadershipTeachingStakeholder management
Languages:English
Tech Stack:PythonPydanticMypyPytestPoetryFastAPIMsgspecRayAirflowScikit-learnPyTorchHugging Face TransformersFAISSPandasSparkChromaWeaviateLlamaIndexLangGraphCrewAI

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn