Key Responsibilities
Contribute to technology audit and advisory engagements across AI transformations, IT systems, cloud infrastructure, cybersecurity, applications, data management, business processes, and operational domains.
Develop methodologies to evaluate risks across agentic systems throughout the AI lifecycle, including model governance, validation, explainability (XAI), algorithmic bias, agent autonomy, and the security posture of LLMs/GenAI systems in light of emerging global regulations.
Drive the design, testing, and deployment and operationalization of GenAI tools and enterprise AI agents using enterprise AI platforms and agentic AI frameworks to scale analytics and automate core audit workflows.
Partner with teams across Engineering, Product, Enterprise AI, InfoSec, Privacy, Legal, and Finance to evaluate emerging technological risks and formulate actionable recommendations.
Lead research on AI and technology risks and controls to formulate recommendations for process improvements and innovation.
Qualifications
Required Qualifications
A minimum of 3 years of relevant experience in technology, data analytics, generative AI, business intelligence, automation, cybersecurity, software engineering, IT risk and controls, technical implementation, technical consulting, technical program management, or a related technical or technology-focused role.
Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Industrial Engineering, Accounting, another engineering or technical field, or a related quantitative field.
Demonstrated experience in building, configuring, or operationalizing GenAI or automation solutions.
Solid understanding of software architecture, data pipelines, SDLC, and system logic. Willingness and ability to learn audit and risk evaluation methodologies. Excellent verbal and written English communication skills, with proven ability to translate complex technical concepts for executive and non-technical stakeholders.
Demonstrated project management skills, with the ability to manage multiple tasks concurrently, interpret complex data to identify areas for improvement, and work effectively both independently and within a team.
Prior audit experience is NOT required.
Preferred Qualifications
Proven hands-on experience building, prototyping, or integrating software, data pipelines, automation workflows, or GenAI tools/agents (e.g., APIs, enterprise LLM frameworks)
Experience with AI-powered analytical tools.
Relevant certifications in technology audit, cybersecurity, cloud architecture, or AI and data technologies (e.g., CISA, CISSP, and relevant cloud provider certifications in AI or data).
Experience in technology risk consulting or corporate audits.
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
