Staff Automation Engineer - Internal Audit

IonQ

4d•$111,692 - $145,649•Remote

About The Position

The Staff Automation Engineer - Internal Audit will design, engineer, automate, and continuously optimize audit workflows rather than perform audits. The role will help move the Internal Audit department from manual, point-in-time testing to continuous assurance and real-time risk insights by applying process engineering, generative AI, and agentic orchestration. The position combines audit process re-engineering with AI-agent design, automation, and ecosystem integration. It includes building AI-assisted workflows for control mapping, walkthrough documentation, and anomaly narratives; creating reusable prompt and agent libraries; automating processes that interact with GRC platforms; and developing dashboards from automated testing results. The role also ensures solutions are explainable, respect privacy and model-risk requirements, and include human review checkpoints. The position is remote within the U.S. and requires 10% travel. The approximate base salary range is $111,692–$145,649, with total compensation including base salary, bonus, and equity.

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 platforms such as Vellum, LangChain, or Copilot Studio.
Advanced proficiency in automation platforms such as Power Automate, Zapier/Make, or n8n.
Passion for AI, self-learning, willingness to experiment, and interest in implementing boundary-pushing solutions.

Nice To Haves

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.

Responsibilities

Analyze and map end-to-end audit processes, from risk assessment through issue remediation, to identify automation-first opportunities.
Apply Lean/Six Sigma principles to reduce manual data entry, redundant evidence requests, and administrative overhead in the audit lifecycle.
Design standardized, modular workflow patterns reusable across financial, IT, and operational audit domains.
Build and deploy AI-assisted workflows using platforms such as Vellum AI, Copilot Studio, and Claude 3.5/4 for control mapping, walkthrough documentation, and anomaly narrative generation.
Develop and maintain a prompt registry and agent library to ensure consistent AI interaction with sensitive audit data.
Design agentic automations in Microsoft Power Automate or Make.com to process exceptions, route approvals, and update GRC platforms such as AuditBoard and Workiva.
Deploy DataSnipper for automated document matching and population integrity testing.
Design and maintain Power BI or Tableau dashboards that provide live risk heatmaps based on automated testing results.
Ensure AI solutions are explainable and comply with corporate Model Risk Management and data privacy standards, including GDPR and CCPA.
Embed human-in-the-loop checkpoints so subject matter experts validate AI-generated output.