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Plan and implement security measures across internal systems, tools, and environments; harden AI execution environments; provide training; respond to incidents, analyze causes, and prevent recurrence.
Ubie’s business includes a symptom search engine for consumers and a medical navigation service for healthcare institutions, alongside services centered on products using generative AI. The posting describes a changing business phase and the need to strengthen security in response to the spread of generative AI tools and related productivity and information-security challenges.
This role plans, promotes, and carries out security measures across internal systems, tools, and other environments. Responsibilities include defining and implementing security measures for the use of internal systems and tools, as well as proposing, designing, and implementing ways to harden AI execution environments.
The engineer works with business teams and other stakeholders to provide security education and training. When a security incident occurs, the role responds, analyzes the cause, develops measures to prevent recurrence, and implements those measures. The position also follows the latest developments in security technology and proposes appropriate countermeasures.
The posting emphasizes proactive information sharing by employees through channels such as note, X (formerly Twitter), and LinkedIn. Speaking at or attending lectures, events, and study groups is also encouraged.
The work location is Nihonbashi Life Science Building 4, 5F, 3-8-4 Nihonbashi-Honcho, Chuo-ku, Tokyo. The stated change-of-scope location is a place designated by the company. For a General Employee, duties may be reassigned across all company work. For an Expert under job-limited employment, the scope is the duties defined in this posting; any change required by business conditions is decided in consultation with the employee.
Job details
About Ubie
Ubie is a Japanese health-tech company using AI to power symptom-checking and medical-guidance tools for patients and clinical efficiency for hospitals.
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