AI Intern, Data Engineering & Agent Workflows (unpaid)

Armada Armada · Enterprise · Bellevue, Sunset Corporate · G&A - Operations

Seeking an AI Intern to build data infrastructure, AI agents, and automated workflows for Armada's go-to-market motion. This role focuses on data engineering and applied AI, involving building data pipelines, developing AI agents using LLM APIs for use cases like lead scoring and internal Q&A, and automating cross-system workflows. The intern will also model business data, enrich prospect data, and prototype internal tools end-to-end.

What you'd actually do

  1. Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python.
  2. Develop and ship AI agents and copilots using the Claude API (and other LLM tooling) for use cases like lead scoring, account research, call analysis, and internal Q&A over company data.
  3. Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes.
  4. Model business data in dbt and Omni — building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on.
  5. Enrich and clean prospect and account data using sources like ZoomInfo, LinkedIn Sales Navigator, and public government datasets (e.g., USASpending, SAM.gov, FCC, EIA, FERC, SEC EDGAR).

Skills

Required

  • Python
  • SQL
  • dbt
  • LLM API experience
  • Git
  • software engineering practices

Nice to have

  • Pandas
  • requests
  • FastAPI
  • Flask
  • joins
  • window functions
  • CTEs
  • StarRocks
  • Snowflake
  • BigQuery
  • Databricks
  • Omni
  • Tableau
  • Looker
  • Power BI
  • prompt design
  • tool/function calling
  • RAG
  • Power Automate
  • Zapier
  • n8n
  • Airflow
  • code reviews

What the JD emphasized

  • hands-on role focused on data engineering and applied AI — not traditional ML research
  • Develop and ship AI agents and copilots
  • Prototype and ship internal tools end-to-end
  • Hands-on experience building something with an LLM API (Claude, OpenAI, etc.)

Other signals

  • AI agents and copilots
  • LLM API
  • data pipelines
  • automated workflows