Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This role sits within the corporate business security organization and serves as a core leadership position for a managed security service provider operating security operations centers for multiple enterprise customers. The team handles complex, customer-specific security monitoring requirements in addition to standard monitoring services.
The analyst leads analysis of security alerts and incidents, recommends countermeasures, prepares monthly monitoring reports, and presents findings to customers. The role also improves SOC operations, strengthens service quality, and advances efficiency and automation using SIEM, SOAR, and ticket management systems. Team management includes regular one-on-one communication and organizational development.
Applicants must have experience leading multiple members through management, training, or project management; operational experience with an IT service such as security products, network products, cloud platforms, or server infrastructure; and professional experience or knowledge in security.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
Plans and develops EMS services for homes and commercial users, integrating batteries and solar devices with web/mobile apps, cloud systems, APIs, and AI-based demand and generation forecasting.
Investigates machine-learning methods for generating and editing video, sound, and 3D geometry, while studying memorization, concept erasure, and data attribution in generative AI.
Develop AI-based image-processing software and algorithms for factory-automation products, including machine-learning models, data preparation, algorithm tuning, and product solutions.
As an IAM Engineer, you will design and implement Money Forward's ID platform and provide technical leadership to engineering teams.