Senior Enterprise Applications Engineer - AI Workflows at Adyen NV

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python Automation, AI Workflows, Google Cloud Platform, Google Vertex AI, Agent Development Kit, SaaS Applications, Security Mindset, Collaboration, Documentation, Integration, Operational Efficiency, Automation, Custom Integrations, Internal Tools, Communication, Scaling

Industry

Financial Services

Description

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Enterprise Applications Engineer - AI Workflows 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 our global productivity tooling stack—you will modernize it. You will engineer Agentic Workflows that automate complex operational tasks, reducing manual toil and for our teams. You will work extensively with Google Vertex AI, Google Agent Development Kit (ADK), and Python to turn tools like Jira, Confluence, Slack, Google Workspace and more into an intelligent, interconnected ecosystem. What you’ll do Design and build agentic workflows to automate internal processes using VertexAI as well as Google’s Agent Development Kit (ADK) (e.g., automated support agents, intelligent documentation retrieval, automated provisioning). Enhance and administer our Google Gemini Enterprise environment, building custom integrations for our internal tooling. Design, interconnect, maintain, and scale our enterprise applications as we launch new tools and enhance existing services, with a focus on automation and operational efficiency Maintain and scale our SaaS ecosystem (Atlassian Suite, Slack Enterprise Grid, Google Workspace, Zoom), ensuring they are secure, performant, and ready for global scale. Develop, improve and support internal Slack Apps and custom integrations that extend functionality and improve communication and productivity across teams Partner with our Enterprise Access Management team to implement secure identity and access controls, including automated provisioning and deprovisioning across systems Build and maintain Python-based applications, automations and workflows to reduce manual effort and increase tooling reliability Integrate enterprise applications with Google Cloud Platform (GCP), leveraging services like Pub/Sub, and Cloud Functions to drive automation and security Create and maintain clear, high-quality documentation of workflows, administrative procedures, and integrations for both technical and non-technical audiences Who you are You have strong Python automation skills, with the ability to build, troubleshoot, and scale scripts and tools independently. You have a deep understanding of LLMs, prompt engineering, and applied ML workflows from experimentation and evaluation to deployment and monitoring. Experience integrating third-party AI models (e.g., Gemini, or custom fine-tuned models) into real-world tools or services. You have hands-on experience with Google Cloud Platform (GCP), especially in integrating applications and automating tasks across services such as Vertex AI and Cloud Functions. You’re comfortable deploying and managing AI tools and agents, including Gemini, Google Vertex AI, and Gemini Enterprise (Agentspace), or similar and integrating them into operational workflows. You’ve successfully rolled out and maintained a variety of SaaS applications and tooling ecosystems, including Slack Enterprise Grid, Zoom, Atlassian (Jira & Confluence), and others. You apply a security-first mindset, designing solutions that safeguard data and systems while maintaining a seamless user experience. You’re a strong communicator and collaborator, capable of working cross-functionally to deliver scalable, secure, and maintainable systems that support global operations. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Senior Enterprise Applications Engineer will design and build workflows to automate internal processes and enhance the Google Gemini Enterprise environment. They will also maintain and scale enterprise applications and develop internal tools to improve operational efficiency.