Supports information security governance, risk and compliance across Digital Trust pillars, translating regulatory and security requirements into controls, policies, evidence and assurance.
About this role
This role sits within the Architecture Review Board supporting Rakuten Mobile’s cloud-native network. It combines solution architecture with the development of internal AI capabilities, including the Tech SLM platform for automated high-level design creation and review, and participation in AI governance across the network.
The architect will build LLM and RAG pipelines, assess open-source and proprietary models against telecom performance, safety, and latency measures, and review AI/ML infrastructure for efficiency. The work also covers vendor tool integration, architectural guardrails, monitoring, data governance, and secure, low-latency integration of AI services. Named technologies include Python, cloud platforms, Kubernetes, vector databases, fine-tuning, prompt engineering, and generative AI.
Applicants need a bachelor’s degree in a relevant computer science, AI, machine learning, data science, or telecommunications field, at least seven years of industry experience, and at least three years designing and architecting AI/ML software. Applicants also need hands-on generative AI and model design experience, strong LLM/SLM and RAG expertise, and an understanding of AI governance, security, and data privacy.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong.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
Responsible for quality assurance management in the IT department, including process formulation, reviews, and bug management.
Test web, mobile, API, cloud, telecom, and AI/ML systems through manual and automated penetration testing. Identify vulnerabilities, document findings, and validate remediation.
Drive commercial development of AI-RAN/Open RAN base-station software, planning milestones, tracking progress and quality, coordinating teams and partners, and improving development processes.
Lead retail-system projects from requirements definition through development, testing, deployment, and operations, coordinating customers and project teams while applying cloud, web, AI, and digital expertise.
Lead the development of multi-products for corporate clients in the restaurant industry, enhancing operational efficiency and customer experience.