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Applied AI Engineer

United States, Washington, D.C. 160000.00 - 250000.00 USD / Year · Job Posted December 12, 2025
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Job Description

Research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. Work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. Help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities.

Job Responsibility

  • Partner with customers to build and deploy impactful Gen AI and machine learning solutions
  • 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
  • Forge and manage relationships with our customers’ leadership and stakeholders
  • Collaborate closely with pre-sales Solutions and Product teams
  • Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
  • Lead stakeholder education on quantitative capabilities
  • 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
  • Work on all aspects of complex National Security problems
  • Annual travel up to 25%

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 strong grounding in software engineering fundamentals
  • 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
  • Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders
  • Outstanding presentation skills to technical and executive audiences
  • Ability to work in a fast-paced environment and balance priorities across multiple projects at once
  • Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFPs), etc. is preferred
  • Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
  • Candidates must have an active TS/SCI
  • preferred with a Single Scope Background Investigation (SSBI) with Polygraph

Nice to have

  • Experience reviewing and drafting responses to federal Requests for Comment (RFCs), Requests for Information (RFIs), Requests for Proposals (RFIs), etc.
  • Experience working across the Civilian, DOD and NATSEC agencies, inclusive of experience in Federal Law Enforcement, Healthcare, Financial/Regulatory and Military operations and logistics
  • Single Scope Background Investigation (SSBI) with Polygraph

What we offer

Equity in the form of employee stock options

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