AI Platform Engineer

About PayPay Card PayPay Card Corporation was established in 2021 to provide users a FinTech service that is more accessible and convenient compared to previous credit cards and credit services, by integrating with the PayPay payment platform, which has surpassed 70 million users since its launch (as of July 2025). We are looking for people who are passionate about refining our products at an overwhelming speed that other companies cannot match, as well as professionals who are interested in promoting the spread of cashless payments in Japan and the use of these payments as a financial life platform. Let us work together to create new value for users. ※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation. Job Description PayPay Card is looking for an AI Platform Engineer focused on cloud-native GenAI infrastructure and enablement. This role will build and operate the foundation that enables internal teams to deliver and operate GenAI applications, agents, RAG systems, and related AI workloads reliably, safely, and cost-effectively Responsibilities Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads Architect and build infrastructure that is easy to maintain, update and improve Architect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services Work together with our Security Engineers to provision secure and governed AI platform infrastructure Build and maintain deployment automation to ensure fast delivery of AI platform services to our developers Provide self-service capabilities and standard deployment patterns for developers to easily deploy and operate AI-powered application infrastructure Build and maintain reusable platform templates, deployment patterns and integrations for GenAI applications, agents, RAG systems, MCP-based integrations and agent-to-agent workflows Build and support monitoring and evaluation capabilities for GenAI systems, including usage, cost, reliability, agent execution and adoption metrics Continuously research, evaluate, and prototype emerging AI trends, frameworks, and open-source tools to ensure the platform remains cutting-edge. Drive R&D initiatives for new AI platform capabilities, keeping pace with the rapid evolution of agentic workflows and LLM infrastructure. Tech Stack AWS: Bedrock, Bedrock Knowledge Bases, OpenSearch, Neptune, S3, ECS, EKS, Lambda, CloudWatch, Cognito, SQS, KMS, Secrets Manager, MSK, CodeCommit, CodeBuild, CodeDeploy, CodePipeline, CloudFormation and other services AI platform / GenAI capabilities: RAG, vector stores, graph databases, model access patterns, MCP-based integrations, agent orchestration, agent-to-agent workflows, evaluation and observability tooling Terraform, GitHub Actions, Prometheus, Grafana, Dynatrace, Atlantis, ArgoCD, OpenTelemetry Required Qualifications More than 5 years of technical experience in cloud-based infrastructure platforms Ability to demonstrate high degree of ownership in a Production environment Good understanding of cloud security best practices and payment industry compliance standards Experience designing, building and operating cloud platform capabilities for internal developers Experience with cloud infrastructure and platform systems availability, performance and cost management Extensive technical hands-on experience with compute, storage and analytics services on cloud platforms Experience with IaC tools such as Terraform, CloudFormation, CDK Experience with cloud services monitoring, detection and response Experience with cloud services performance tuning, cost controls and management Experience in cloud infrastructure service patching and upgrades Familiarity with AI platform concepts such as GenAI applications, agents, RAG systems, vector stores, model access patterns and evaluation/observability capabilities PayPay DevOp…