Key skills
PythonPandasFastAPIFlaskSQLdbtStarRocksSnowflakeBigQueryDatabricksOmniTableauLookerPower BILLM APIClaude APIOpenAI APIPrompt designRetrieval augmented generationPower AutomateZapiern8nAirflowGitAPI developmentPostgreSQLReactViteAIMLLLMOpenAIClaudeRAGAgenticData EngineeringAnalyticsBISalesforceLeadershipSales
About this role
Armada is a full-stack edge infrastructure company delivering compute, connectivity, and sovereign AI/ML to some of the world’s most remote places. They are seeking a motivated AI Intern to join the Data & AI Agent team, focusing on building data infrastructure, AI agents, and automated workflows to enhance Armada's operations.
Responsibilities:
- Build and maintain data pipelines across Salesforce, SharePoint, Excel, and operational systems into our StarRocks data warehouse using dbt and Python
- 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
- Design and automate cross-system workflows using Power Automate, Teams Adaptive Cards, and lightweight Python/FastAPI services to replace manual, spreadsheet-driven processes
- Model business data in dbt and Omni — building reusable semantic models, metrics, and dashboards that GTM, RevOps, and leadership rely on
- 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)
- Prototype and ship internal tools end-to-end — backend (Python/FastAPI), frontend (Vite/React), and storage (PostgreSQL, StarRocks) — for AI-prioritized daily workflows
- Write clear documentation for data models, pipelines, agents, and workflows so the team can extend and maintain them
- Collaborate with GTM, RevOps, Finance, and product teams to translate business questions into data and automation solutions
- Stay current on advances in agentic AI, retrieval, evals, and the modern data stack — and bring useful ideas back to the team
Requirements:
- Pursuing or recently completed a degree in Computer Science, Data Science, Data Engineering, Information Systems, Analytics, or a related field
- Strong Python skills, including experience with libraries like Pandas, requests, and FastAPI or Flask
- Solid SQL skills — able to write and debug analytical queries (joins, window functions, CTEs) against real-world, messy data
- Familiarity with the modern data stack (dbt, a columnar warehouse such as StarRocks/Snowflake/BigQuery/Databricks, and a BI tool such as Omni, Tableau, Looker, or Power BI)
- Hands-on experience building something with an LLM API (Claude, OpenAI, etc.) — even a side project counts. Familiarity with prompt design, tool/function calling, or RAG is a strong plus
- Exposure to workflow automation tools (Power Automate, Zapier, n8n, Airflow, or similar)
- Comfort with Git and basic software engineering practices (branches, PRs, code reviews)
- Strong problem-solving and analytical skills; able to work independently and in a team-oriented environment