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About the Role

The Architecture Review Board (ARB) is the technical gatekeeper for High-Level Designs within Rakuten Mobile's network. We analyze solutions for technical feasibility, strategic necessity, security, infrastructure optimization, and competitive benchmarking. We are leading two major initiatives: Tech SLM, an AI-powered platform for automating design reviews, and the AI Council, which enforces audit frameworks and design patterns for AI use cases.

Responsibilities

Build the proprietary Tech SLM platform using advanced LLM fine-tuning and high-precision RAG pipelines to automate HLD creation and design reviews.
Serve on the AI Council to validate use cases, set standardized design patterns, and enforce network-wide architectural guardrails.
Evaluate open-source or proprietary models against strict telecom network performance, safety, and latency metrics.
Audit and review existing AI/ML infrastructure to provide design optimizations that streamline workloads and significantly reduce infrastructure usage.
Scrutinize third-party AI tools and agentic frameworks to ensure secure integration while preventing vendor lock-in.
Define standardized architectural disciplines, design patterns, and best practices for AI/ML implementation across the network.
Establish comprehensive monitoring frameworks to track model performance, safety, and data governance.
Ensure seamless, secure, and low-latency integration of AI services within the existing Rakuten Mobile network stack.

Requirements

Bachelor’s degree in Computer Science, AI, Machine Learning, Data Science, Telecommunications Engineering, or a related field.
7+ years of total industry experience.
3+ years of experience in application/software design and architecture with AI/ML, including hands-on Generative AI implementation and model design.
Strong expertise in LLMs/SLMs, fine-tuning techniques, RAG, vector databases, and prompt engineering.
Experience designing and deploying scalable AI solutions using Python, cloud platforms, and Kubernetes.
Solid understanding of AI governance, responsible AI practices, security, and data privacy.
Basic understanding of Telco networks, Cloud, and networking technologies.
Proficiency in English.

Skills

LLMs/SLMs
Fine-tuning techniques
RAG
Vector databases
Prompt engineering
Python
Cloud platforms
Kubernetes
AI governance
Responsible AI practices
Security
Data privacy
Telco networks
Cloud
Networking technologies
Generative AI implementation
Model design
Advanced LLM optimization (LoRA, QLoRA, model distillation)
Agentic AI frameworks
MLOps
AI observability
Model monitoring
Lifecycle management tools
AI Council
Tech SLM platform

Location

Remote

Work Type

Full-time

Experience Level

7+ years of total industry experience
3+ years of experience in application/software design and architecture with AI/ML
7–15 years of total experience
at least 3 years in AI/ML design and implementation

Education Level

Bachelor’s degree in Computer Science, AI, Machine Learning, Data Science, Telecommunications Engineering, or a related field.
Master’s degree in Computer Science, Data Science, or AI/ML fields.

About the Company

The Architecture Review Board (ARB) acts as the final technical gatekeeper for every High-Level Design (HLD) within the Rakuten Mobile network.
Our mission transcends basic technical feasibility; we analyze solutions through a multi-angle lens, including strategic necessity, security, infrastructure optimization, and competitive benchmarking.
We are currently spearheading two major initiatives: Tech SLM and AI Council.
Tech SLM: A proprietary, AI-powered platform utilizing advanced LLM fine-tuning and high-precision RAG pipelines to automate design reviews and knowledge management.
AI Council: A dedicated authority established to enforce audit frameworks, standardized design patterns, and cross-functional synergy for AI use cases across Rakuten Mobile.
The ARB serves as a major stakeholder alongside Security and AIDD teams to ensure network stability and integrity.