A

Amazon

Sells products online and rents cloud computing

Forward Deployed Engineer - Forward Deployed Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTokyo, JapanNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of professional software development experience.
  • Experience communicating technical concepts to both technical and non-technical audiences.
  • Experience with agent-assisted development and specification-driven development.
  • Experience using AI tools, including evaluation frameworks, agent tools, retrieval-augmented generation pipelines, and prompt engineering.
  • Business-level Japanese proficiency.

Responsibilities

  • Collaborate with customer engineering teams, customers, stakeholders, and colleagues to understand the business and customer value of the systems being built.
  • Understand customer business processes, technical architectures, and operational constraints.
  • Translate customer requirements into technical designs for AI-enabled production systems in the assigned workstream.
  • Design and develop production-quality software supporting AI and agentic workflows, including search pipelines, workflow automation, API orchestration layers, and data integration.
  • Resolve challenging issues involving risks or failures, clarify the situation, and design simple solutions.
  • Integrate foundation models, customer data sources, and existing applications to deliver cohesive AI experiences.
  • Own production operations for the assigned workstream and participate throughout the software development lifecycle, including scoping, design, coding, testing, deployment, operation, and maintenance.
  • Troubleshoot production incidents across AI models, distributed systems, and application services.
  • Identify and resolve root causes of operational issues.
  • Implement monitoring, evaluation, guardrails, and continuous integration and continuous delivery to maintain AI system health.
  • Regularly identify and implement operational improvements.
  • Actively guide and develop new team members on how systems are built, operated, and situated within the broader architecture.
  • Coach others to write high-quality code through mechanisms such as code reviews, and actively participate in code reviews by providing useful feedback.
  • Identify opportunities to expand AI adoption within assigned customer engagements.
  • Systematize reusable patterns and accelerators that support future customer deployments, and provide feedback to AWS services.
  • Implement improvements to team software and processes.

Desired Qualifications

  • At least 3 years of experience across the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations.
  • Experience working in customer production environments.
  • Experience building or deploying AI/ML applications in production.
  • Experience working on teams that build and scale production systems end to end.
  • Experience working with cloud services.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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