AI Security Software Engineer
Carnegie Mellon University
At a glance
AI generatedThe Lead AI Cybersecurity Engineer at Abbott is a senior-level role within the Information Risk & Quality Assurance division, responsible for developing and overseeing strategies to ensure the secure use of AI across the enterprise. This includes creating policies and controls for AI use cases, advising on safe integration into medical devices, and identifying opportunities to enhance cybersecurity through AI automation. The ideal candidate will have 8-10 years of experience in secure design and implementation, with a focus on AI security for at least 2-5 years. They should be proficient in AI technologies, threat modeling, and secure design principles, and capable of translating technical concepts into business-friendly language to advocate for cybersecurity requirements across cross-functional teams. Experience in the medical device or life sciences industries is preferred, as well as certifications like CISSP or CISM.
Skills
What you'll do
What we're looking for
Market check
This $129,300–$258,700 range sits above 52% of similar postings on FindRole.
Peer median band
$144,000–$229,850
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$145,700–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has 43 open roles on FindRole.
Listed pay typically runs $99,300–$198,700 across 41 roles with salary data.
Most-posted roles
More like this
Carnegie Mellon University
Booz Allen Hamilton
Carnegie Mellon University
Target
Uber
Adobe