AI & SaaS Product Security Engineer

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Job Description Role Overview Join our Strategic Platforms Security & AI Security team a function at the intersection of AI security initiatives, cloud-native product security, and enterprise SaaS security. We protect the platforms that run global drug development from AI-powered research tools to enterprise SaaS systems used by thousands of scientists worldwide. As a Specialist, you'll be a hands-on practitioner driving security assessments, AI risk controls implementation, and technical security programs that protect critical platforms across the global footprint of our company. You will work closely with platform owners and senior security leadership to assess and mature security posture across a complex portfolio of SaaS and AI systems. What will you do in this role: Own end-to-end security assessments for enterprise SaaS platform from IAM misconfigurations to API exposure Collaborate with product teams to enforce SaaS application security best practices, conduct reviews, perform scans and assist in threat modelling to identify and mitigate security risks throughout the development lifecycle. Be on the front line of AI security: design guardrails, hunt for prompt injection attacks, and build controls that didn't exist a year ago Operate security tooling including AI Guardrails and AI DLP tools Maintain and monitor security tools and dashboards, ensuring that applications deployed in our environments adhere to organizational security standards and compliance requirements. Create and document security patterns for SaaS and AI Systems. What should you have: 3+ years of experience in cybersecurity, IT, or a closely related field - internships count Solid grounding in application or cloud security; hands-on experience with real enterprise environments Experience working with enterprise SaaS platforms and their security configurations Ability to communicate risk clearly - you can explain a complex finding to an engineer and to a business leader, and know the difference Genuine curiosity about AI and generative AI security. You've read about prompt injection, jailbreaks, or model supply chain risks and found yourself wanting to go deeper Scripting or automation experience in Python, Bash, or PowerShell - you reach for code when repetitive tasks get in the way Familiarity with cloud environments (AWS, Azure, or GCP) and cloud-native security concepts Experience with security tools in the ASM, CASB, SAST/DAST, or DLP space is nice to have You take ownership of your work and follow through Innovative thinking, experimental mindset and fast learner

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Company Intel

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