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Adyen

Processes payments online and in stores

Senior Forward Deployed Engineer - Data Platform

AI Application EngineeringPosted on Nov 11
Full-timeAmsterdam, NetherlandsNo salary listed

About the Job

Requirements

  • Expertise in software engineering and strong automation skills, including independently building, troubleshooting, and scaling scripts and tools.
  • Experience working with a data platform.
  • Client-facing experience, such as in a Solutions Architect or Solutions Engineer role.
  • Deep understanding of large language models, prompt engineering, and applied machine-learning workflows.
  • Hands-on experience integrating third-party AI models such as Gemini and using agent orchestration frameworks such as LangChain, LlamaIndex, or Google Agent Development Kit.
  • Hands-on experience with Google Cloud Platform, especially integrating applications across services such as Vertex AI, and deploying to on-premises infrastructure such as Kubernetes, PostgreSQL, and Redis.
  • Experience rolling out and maintaining integrations across enterprise applications such as Slack Enterprise Grid, Zoom, and the Atlassian suite.
  • Ability to translate non-technical issues into technical requirements, navigate stakeholder conversations, present complex concepts clearly, and create high-quality documentation.
  • A security-first approach to designing solutions that safeguard data and systems while maintaining a seamless user experience.
  • Ability to lead technical initiatives autonomously and deliver quickly and effectively.

Responsibilities

  • Build robust and resilient systems that require little or no maintenance, using the existing internal ecosystem or stakeholder tooling to improve team productivity and user experience.
  • Create long-term documentation and runbooks, then hand ownership back to the relevant function or team before moving on to the next project.
  • Identify recurring stakeholder issues or requests and feed them into the Business Enablement tooling roadmap.
  • Automate complex internal processes using Google Vertex AI, Google Agent Development Kit, and software engineering, including automated support agents, intelligent documentation retrieval, and contract review automations.
  • Own end-to-end technical delivery of complex solutions by writing critical code, configuring systems, and troubleshooting issues to ensure successful deployment and measurable business impact.
  • Develop proofs of concept and minimum viable products quickly, translate non-technical business requirements into technical solutions, and gather feedback throughout development.
  • Identify, analyze, and resolve complex technical challenges throughout projects, including data integrations on Google Cloud Platform and Kubernetes and advanced AI agent orchestration.
  • Work with non-technical functions such as Legal, Support, and Operations to understand operational toil, design suitable solutions, reduce manual work in key workflows, and increase adoption of productivity tooling.

About the Company

Adyen

Processes payments online and in stores

Adyen processes payments for businesses selling online, through mobile apps and in physical stores, with one platform connecting checkout, fraud checks and settlement. Its unified commerce tools connect sales across channels so merchants track transactions and customer activity together. The platform also supports business accounts, card issuing and payouts for software platforms that embed financial services for their users. Merchants integrate its software into their checkout or sales systems and pay a processing fee plus fees based on the payment method, while additional products carry their own charges. Adyen was founded in 2006 and is headquartered in Amsterdam, the Netherlands.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
2006

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