Staff Automation Engineer - Internal Audit

IonQ, Inc is the world’s leading quantum platform and merchant supplier, delivering integrated quantum solutions. The Staff Automation Engineer will design and automate audit workflows, integrating Generative AI and process engineering principles to enhance the audit function from manual testing to continuous assurance.

Responsibilities:

• Workflow Deconstruction: Analyze and map complex end-to-end audit processes (Risk Assessment through Issue Remediations) to identify "automation-first" opportunities
• Lean Audit Design: Apply Lean/Six Sigma principles to eliminate "waste" in the audit lifecycle, such as manual data entry, redundant evidence requests, and administrative overhead
• Scalable Solutions: Design standardized, modular workflow patterns that can be reused across Financial, IT, and Operational audit domains
• Intelligent Augmentation: Build and deploy AI-assisted workflows using Vellum AI, Copilot Studio, and Claude 3.5/4 to automate:
• Control Mapping: Automatically mapping disparate business processes to COSO/NIST frameworks
• Automated Walkthroughs: Using AI to summarize meeting transcripts and draft narrative documentation
• Anomaly Narrative Generation: Converting complex data exceptions into plain-English audit findings for reports
• Library Management: Develop and maintain a "Prompt Registry" and "Agent Library" to ensure consistency in how AI interacts with sensitive audit data
• Agentic Workflows: Design "Agentic" automations in Microsoft Power Automate or Make.com that can reason through exceptions, route approvals, and update GRC platforms (e.g., AuditBoard, Workiva) without human intervention
• Tool Mastery: Advanced deployment of DataSnipper for automated document matching (e.g., matching 1,000s of Invoices to POs in seconds) and population integrity testing
• Real-time Risk Dashboards: Design and maintain Power BI or Tableau visualizations that provide a live "Risk Heatmap" based on automated testing results
• AI Governance: Ensure all AI solutions are "explainable" and meet corporate Model Risk Management (MRM) and data privacy (GDPR/CCPA) standards
• Validation Controls: Embed "Human-in-the-Loop" checkpoints into every automated process to ensure AI-generated output is validated by a subject matter expert

Requirements:

• Bachelor's degree in Industrial Engineering, Information Systems, Data Science, or Accounting with a heavy technical focus
• 5–8+ years in Audit Transformation, Process Excellence, or Business Systems Engineering
• Hands-on experience with LLM orchestration (Vellum, LangChain, or Copilot Studio)
• Advanced proficiency in Power Automate, Zapier/Make, or n8n
• Strong background in manufacturing or organizations engaged in government contracting
• Hands-on experience with SQL, Python, DataSnipper or AI-based audit tools (e.g., Alteryx, MindBridge, or custom GPT agents)
• Proficiency in Data Governance, Datawarehouse (Snowflake/DataBricks)
• Passion for AI, self-learning, willingness to experiment and implement solutions that are pushing the boundaries