Appealing Points
- Work on the front line of implementing generative AI in business applications, with hands-on experience from development through to infrastructure operations.
- Realize your own ideas by collaborating with the US and APAC technology teams under a global AI usage policy.
- Broaden your career as a technical specialist, with the prospect of moving into a team-leading position in the future.
Annual Salary: 8 Million Yen and above
Job Description
As part of the Digital & Technology Team, you will develop AI-powered business applications and manage and operate the cloud environment. The team has fewer than 10 members who build and maintain systems used by the business side. It is now building a platform that supports AI-based work, and it is also setting up AI-driven development processes and a cloud environment for business applications. This is a newly hired position that will lead these efforts on the technical side.
Job Responsibilities
- Plan, design, develop, test, release and maintain AI-powered business applications.
- Manage and operate the cloud environment (Azure/AWS).
- Work with business departments to identify and implement AI use cases.
- Accurately understand business requirements and issues, then propose and implement the best AI-based solutions.
- Develop applications end to end, covering frontend, backend and infrastructure.
- Build the cloud environment, handle monitoring and incident response, manage accounts and permissions, manage costs, and handle security and governance.
- Design, build, operate and improve Azure/AWS cloud infrastructure.
- Develop applications using generative AI (LLM) APIs and AI agents.
- Prepare development and operations documentation, and provide internal AI usage guides and study sessions.
- Work with domestic and overseas technology teams and external vendors on improvement proposals and problem solving.
Required Qualifications
- Full-stack web application development experience (frontend, backend, database, cloud infrastructure)
- Practical experience developing applications that use AI (generative AI, LLM)
- Experience building and operating systems on AWS or Azure
- Broad knowledge of cloud (AWS/Azure), including compute, networking, security and monitoring
- Communication and writing skills to understand and clarify business requirements
- Excellent analytical, logical thinking and problem-solving skills
- Time management skills to run multiple projects at the same time
Preferred Qualifications
- Experience using cloud-based generative AI services such as Amazon Bedrock
- Experience building and operating systems on both AWS and Azure
- Development experience using AI agents and AI coding tools
- Experience building IaC (Terraform, AWS CDK, etc.) and CI/CD
- Experience in cloud security, cost optimization (FinOps) and governance
- Experience developing enterprise business applications
- Experience in system development in fields that require business knowledge, such as real estate and finance
- Experience delivering internal technical awareness activities and training
Language Proficiency: Business level Japanese (JLPT N2 and above) and Business level English.
Company Description
A Fortune 500 and S&P 500 company headquartered in Los Angeles is the world’s largest commercial real estate services and investment firm (based on 2017 revenue). The organization employs more than 80,000 people (excluding affiliates) and serves real estate investors and occupiers through a global network of more than 450 offices (excluding affiliates).
It offers a broad range of integrated services, including facilities, transaction and project management; property management; investment management; appraisal and valuation; property leasing; strategic consulting; property sales; mortgage services and development services.
. Skillset Required: generative AI, AI-powered business applications, cloud environment management, Azure, AWS, frontend development, backend development, database, cloud infrastructure, AI use case identification, AI-based solutions implementation, AI (LLM) APIs, AI agents development, monitoring, incident response, account management, permissions management, cost management, security, governance, development and operations documentation, internal AI usage guides, study sessions, communication, writing skills, analytical skills, logical thinking, problem-solving, time management, cloud-based generative AI services, Amazon Bedrock, AI coding tools, IaC, Terraform, AWS CDK, CI/CD, cloud security, cost optimization, FinOps, enterprise business applications development, real estate business knowledge, finance business knowledge, internal technical awareness activities, training
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
![[XC-AS] Interior Sensing Solutions Vehicle Integration & Application Engineer](https://pcdns.recruit.net/2.0/jobsapi/logos/3802_128x128.png)
