AI Solution Architect (RMI Architecture & Business Solutioning Dep)

Job Description:

About Organization

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: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.

Why Join Us

• Ultimate Tech Authority:Define blueprints safety guidelines and architectural guardrails for an entire cloud-native mobile network.

• Build Proprietary AI Assets:Go beyond basic APIs; fine-tune foundation models on massive specialized telecom datasets.

• Solve RAG at Scale:Design high-precision low-latency semantic search systems to eliminate hallucinations in complex network documentation.

• High-Impact Ownership:Prevent vendor lock-in and secure network stability while driving the transition toward an autonomous AI-driven network.

Job Duties

• Tech SLM Engineering:Build the proprietary Tech SLM platform using advanced LLM fine-tuning and high-precision RAG pipelines to automate HLD creation and design reviews.

• Strategic AI Governance:Serve on the AI Council to validate use cases set standardized design patterns and enforce network-wide architectural guardrails.

• Algorithmic & Model Assessment:Evaluate open-source or proprietary models against strict telecom network performance safety and latency metrics.

• ML Infrastructure Review:Audit and review existing AI/ML infrastructure to provide design optimizations that streamline workloads and significantly reduce infrastructure usage.

• Vendor Auditing & Integration:Scrutinize third-party AI tools and agentic frameworks to ensure secure integration while preventing vendor lock-in.

• Architectural Guardrails:Define standardized architectural disciplines design patterns and best practices for AI/ML implementation across the network.

• Operational Integrity:Establish comprehensive monitoring frameworks to track model performance safety and data governance.

• Ecosystem Integration:Ensure seamless secure and low-latency integration of AI services within the existing Rakuten Mobile network stack.

Minimum Qualifications

• Bachelors 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.

Preferred Qualifications

• Masters degree in Computer Science Data Science or AI/ML fields.

• 715 years of total experience with at least 3 years in AI/ML design and implementation.

• Experience in telecommunications mobile network architecture autonomous networks and related AI use cases.

• Hands-on expertise with advanced LLM optimization (LoRA QLoRA model distillation) and agentic AI frameworks.

• Experience building enterprise AI platforms AI copilots or domain-specific language models.

• Strong knowledge of MLOps AI observability model monitoring and lifecycle management tools.

• Proven ability to establish AI governance frameworks and assess third-party AI vendors.

• Relevant certifications (AWS Azure GCP NVIDIA or equivalent).

• Japanese language skills are an additional advantage.

Languages: