Staff Automation Engineer - Internal Audit
New
I
IonQInternal audit
Remote, USFull-TimeStaff
SalaryThe approximate base salary range for this position is $111,692 - $145,649. The total compensation package includes base, bonus, and equity.
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Job Details
- Experience
- 5–8+ years in Audit Transformation, Process Excellence, or Business Systems Engineering.
- Required Skills
- PythonSQLLangChain
Requirements
- Bachelor’s degree in Industrial Engineering, Information Systems, Data Science, or Accounting with a heavy technical focus.
- 5–8+ years of experience in Audit Transformation, Process Excellence, or Business Systems Engineering.
- Hands-on experience with LLM orchestration, such as 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 such as Alteryx, MindBridge, or custom GPT agents.
- Proficiency in Data Governance and data warehouses such as Snowflake or DataBricks.
- Interest in AI, self-learning, and willingness to experiment with and implement solutions.
Responsibilities
- Analyze and map end-to-end audit processes to identify automation opportunities.
- Apply Lean/Six Sigma principles to reduce manual data entry, redundant evidence requests, and administrative overhead.
- Design standardized, modular workflow patterns for Financial, IT, and Operational audit domains.
- Build and deploy AI-assisted workflows using Vellum AI, Copilot Studio, and Claude 3.5/4.
- Develop and maintain a Prompt Registry and Agent Library for consistent AI use with sensitive audit data.
- Design agentic automations in Microsoft Power Automate or Make.com to handle exceptions, route approvals, and update GRC platforms.
- Deploy DataSnipper for automated document matching and population integrity testing.
- Design and maintain Power BI or Tableau dashboards showing automated testing results.
- Ensure AI solutions are explainable, meet MRM and data privacy standards, and include human validation checkpoints.
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