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.
Apply NowOpens the employer's application page
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 with 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, including Snowflake or DataBricks.
- Passion for AI, self-learning, and willingness to experiment and implement new solutions.
Responsibilities
- Analyze and map end-to-end audit processes from risk assessment through issue remediation 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 reusable across Financial, IT, and Operational audit domains.
- Build and deploy AI-assisted workflows for control mapping, walkthrough summaries, narrative documentation, and audit findings.
- Develop and maintain a Prompt Registry and Agent Library for consistent AI interactions with sensitive audit data.
- Design agentic automations using 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 risk based on automated testing results.
- Ensure AI solutions are explainable and meet Model Risk Management and data privacy standards.
- Embed human-in-the-loop checkpoints so subject matter experts validate AI-generated output.
View Full Description & ApplyYou'll be redirected to the employer's site
