IT Audit Director – AI, Cybersecurity & Emerging Technology

Cybersecurity Jobs; Washington (District of Columbia); On-site; USD 140,000 - 210,000; Full time

Job summary

Glint Tech Solutions LLC in Washington, DC is seeking an IT Audit Director focused on AI, cybersecurity, and emerging technology risk. This onsite role blends hands-on technical auditing with leadership over complex audit engagements.

You will lead engagements across AI risk, cloud infrastructure, security controls, and technology architecture, using data analytics to improve audit quality and efficiency. The ideal candidate has 8+ years in IT audit or security, strong communication with

Qualifications

• 8+ years of experience in IT Audit, IT Risk, or Information Security.
• Proven track record leading highly technical IT audits in large organizations.
• Hands-on technical auditing experience with data analytics and automation.
• Strong communication with engineers, architects, and executives.

Responsibilities

• Lead end-to-end internal audit engagements covering AI, cybersecurity, cloud infra, and tech risk.
• Perform hands-on technical audit testing, including analysis and walkthroughs.
• Assess architecture, controls, vulnerabilities across modern enterprise environments.
• Create risk-based audit strategies, objectives, testing approaches, and work programs.
• Communicate findings clearly to technical and executive stakeholders.
• Coach and mentor audit team members and use AI/data analytics to improve audits.

Skills

Python

NumPy

SciPy

PySpark

Power BI

Tableau

Plotly

AI Risk

Cybersecurity

AWS

Architecture

Job description

Glint Tech Solutions LLC is hiring an IT Audit Director focused on AI, cybersecurity, and emerging technology risk, with an emphasis on hands‑on technical auditing. This Washington, DC onsite role blends deep audit execution with leadership: you will lead complex technology audit engagements, work closely with engineering and security stakeholders, and use data and automation to increase audit quality and efficiency.

Responsibilities

• Lead end-to-end internal audit engagements covering AI, cybersecurity, cloud infrastructure, technology resiliency, systems architecture, and emerging technology risk
• Perform hands‑on technical audit testing, including analysis and technical walkthroughs
• Assess technology architecture, controls, vulnerabilities, and emerging risks across modern enterprise environments
• Create risk-based audit strategies, objectives, testing approaches, and work programs
• Communicate complex technical findings clearly to technical and executive stakeholders
• Contribute to annual technology risk assessments and audit planning
• Develop informed perspectives on emerging AI, cyber, cloud, and enterprise technology risks
• Coach and mentor audit team members, including meaningful performance feedback
• Use AI, automation, and data analytics to improve audit execution, quality, and efficiency
• Partner closely with technology executives, engineering teams, cybersecurity professionals, architects, risk teams, and internal audit leadership

Requirements

• 8+ years of experience in IT Audit, IT Risk Management, Information Security, or a related technology risk discipline
• Significant internal audit experience in a large, complex organization
• Proven track record leading highly technical IT audits
• Deep technical expertise in one or more areas:
  • Artificial Intelligence / AI Risk
  • Cybersecurity & Information Security
  • Cloud Infrastructure / AWS
  • Systems & Infrastructure Architecture
  • Technology Resiliency
• Ability to stay hands‑on technically while leading engagements and teams
• Formal people management experience, including coaching, mentoring, and performance feedback
• Strong project and stakeholder management skills
• Excellent written and verbal communication skills, with credibility across engineers, architects, security professionals, and senior technology executives

Technical Focus Areas

• Auditing AI solutions, platforms, models, and AI-related technology risks
• AI governance, security, controls, and risk management
• Agentic AI architectures and associated risks
• Applying AI to improve audit execution and effectiveness
• Evaluating rapidly evolving AI technologies and translating technical changes into enterprise risk considerations

Data Analytics & Tools

• Python and data analysis
• NumPy, SciPy, PySpark (or similar technologies)
• Power BI, Tableau, Plotly, or comparable visualization tools
• Using analytics to identify risk, test controls, analyze large data sets, and improve audit execution

Location: Washington, DC (onsite)

Minimum experience: 8 years