Staff Automation Engineer

Who you are

• 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
• AI Platforms: Hands-on experience with LLM orchestration (Vellum, LangChain, or Copilot Studio)
• Automation Hubs: Advanced proficiency in Power Automate, Zapier/Make, or n8n
• 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

What the job involves

• The Process Engineer, Internal Audit is the architect of the modern audit function
• This role is not about performing audits; it is about designing the systems that perform them
• You will engineer, automate, and continuously optimize audit workflows by integrating Generative AI, agentic orchestration, and process engineering principles
• Your goal is to move the department from "point-in-time" manual testing to a "continuous assurance" model that provides real-time risk insights
• 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 domain
• 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