Senior Enterprise Applications Engineer - AI Workflows

Adyen
Full-timeSenior

AI Tools

GeminiGemini Enterprise (Agentspace)Google Agent Development Kit (ADK)Google Vertex AI

Tech Stack

PythonGCPVertex AIGoogle ADKSlack APIJiraConfluenceCloud FunctionsPub/Sub

Agent Workflow

Engineer Agentic Workflows that automate complex operational tasks using Google Vertex AI and Agent Development Kit (ADK). Build automated support agents, intelligent documentation retrieval, and automated provisioning systems.

About the Role

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft — making them the financial technology platform of choice.

Adyen's Application Engineering team is looking for a Senior Engineer who lives at the intersection of AI, Python Automation, and Enterprise Tooling. In this role, you will not just administer the global productivity tooling stack — you will modernize it. You will engineer Agentic Workflows that automate complex operational tasks, reducing manual toil for teams.

What you'll do

  • Design and build agentic workflows to automate internal processes using VertexAI and Google's Agent Development Kit (ADK) (e.g., automated support agents, intelligent documentation retrieval, automated provisioning)
  • Enhance and administer Google Gemini Enterprise environment, building custom integrations for internal tooling
  • Design, interconnect, maintain, and scale enterprise applications with a focus on automation and operational efficiency
  • Maintain and scale SaaS ecosystem (Atlassian Suite, Slack Enterprise Grid, Google Workspace, Zoom)
  • Develop internal Slack Apps and custom integrations
  • Partner with Enterprise Access Management team for secure identity and access controls
  • Build Python-based applications, automations and workflows
  • Integrate enterprise applications with GCP services like Pub/Sub and Cloud Functions
  • Create documentation for workflows and procedures

Who you are

  • Strong Python automation skills
  • Deep understanding of LLMs, prompt engineering, and applied ML workflows
  • Experience integrating third-party AI models (e.g., Gemini, or custom fine-tuned models) into real-world tools
  • Hands-on GCP experience, especially Vertex AI and Cloud Functions
  • Comfortable deploying AI tools and agents including Gemini, Google Vertex AI, and Gemini Enterprise (Agentspace)
  • SaaS ecosystem rollout experience (Slack Enterprise Grid, Zoom, Atlassian)
  • Security-first mindset
  • Strong communicator and collaborator

Published: February 4, 2026. Location: Amsterdam, Netherlands.

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