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Staff Automation Engineer (Internal Audit)

IonQ · United States

External listinginternship7 days ago

About The Role

Join our team as a Staff Automation Engineer in Internal Audit. In this role, you will design and optimize audit workflows using Generative AI and process engineering principles. Your goal is to transition the department from manual testing to a continuous assurance model. You will analyze and map audit processes, apply Lean/Six Sigma principles, design scalable solutions, and build AI-assisted workflows. Additionally, you will create real-time risk dashboards and ensure AI governance. The ideal candidate will have a bachelor's degree in a technical field, 5-8+ years of experience in audit transformation or process excellence, and a strong background in manufacturing or government contracting.

  • Concevoir, automatiser et optimiser les flux de travail d'audit en intégrant l'IA générative et les principes d'ingénierie des processus.
  • Analyser et cartographier les processus d'audit complexes pour identifier les opportunités d'automatisation.
  • Appliquer les principes Lean/Six Sigma pour éliminer les "déchets" dans le cycle de vie de l'audit, tels que la saisie manuelle des données.
  • AI Platforms: Hands-on experience with LLM orchestration (Vellum, LangChain, or Copilot Studio)
  • Automation Hubs: Advanced proficiency in Power Automate, Zapier/Make, or n8n
  • Education: Bachelor’s degree in Industrial Engineering, Information Systems, Data Science, or Accounting with a heavy technical focus
  • Experience: 5–8+ years in Audit Transformation, Process Excellence, or Business Systems Engineering
  • Industry Savvy: Strong background in manufacturing or organizations engaged in government contracting
  • Modern Audit Toolkit: Hands-on experience with SQL, Python, DataSnipper or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents)
  • Data: Proficiency in Data Governance, Datawarehouse (Snowflake/DataBricks)
  • AI technology is evolving everyday, critical requirements for this role are passion for AI, self learning, willingness to experiment and implement solutions that are pushing the boundaries

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