Senior AI Visualization UI Engineer

Mastercard; Maynooth; On-site; EUR 90,000 - 120,000; Full time

Job summary

Mastercard is seeking a Senior UI Developer to join an AI product team building foundation model capabilities with enterprise impact. You will design frontend applications and interactive visualizations that translate complex model outputs into intuitive experiences for engineers and product teams.

Based in Ireland, you will collaborate with AI engineers, data scientists and software developers, own frontend quality, and contribute to architecture decisions while ensuring robust integrations

Qualifications

• Strong, production-level frontend development experience in React, and/or Python-based data-app frameworks (Streamlit or Dash).
• Component architecture, state management, and building applications meant to be maintained and extended over time, not one-off prototypes.
• Experience integrating frontend applications against REST APIs. Including handling authentication, asynchronous job patterns (submit, poll/callback, retrieve), and designing around API versioning.
• Familiarity with visualization libraries capable of advanced/interactive rendering (e.g., D3.js, deck.gl, Plotly, or similar).
• Familiarity with Databricks Apps as a hosting/deployment model, including its constraints and how it serves React, Streamlit, and Dash applications specifically. Direct Databricks experience is a strong plus.
• Advanced data visualization experience, including interactive/exploratory tooling. Not just static charts, but genuinely interactive interfaces: filtering, drill-down, dynamic re-rendering, and ideally experience visualizing high-dimensional or embedding-style data.
• Comfortable designing for mixed technical audiences. From AI engineers who want dense, fast access to detail, to end users who need simplicity and guardrails.
• Fluency reading/writing SQL or querying a governed data platform (e.g., Unity Catalog).
• Strong UI/UX instincts. Able to make reasonable design decisions independently rather than needing every interaction pattern specified, while knowing when to loop in design/product input.
• Solid testing and code quality practices for frontend code. Component/unit testing, and comfort working within CI/CD pipelines the rest of the team maintains.
• Clear communicator, able to work directly with backend, data, and AI engineering roles to understand what an interface actually needs to expose.

Responsibilities

• Design and build advanced, interactive visualization tooling for embeddings and model outputs. Including exploratory views of embedding clusters/similarity (e.g., dimensionality-reduced spatial views), interactive drill-down, filtering, and comparison across model/embedding versions.
• Design and build self-service applications for end users. Including submitting requests (e.g., filter-based embedding generation), tracking job status, and retrieving results, integrating against the platform's API layer.
• Design and build prototypes for future product versions and executive level demos.
• Design and build internal tooling for own AI teams, to streamline product advancement.
• Build and maintain applications on Databricks App hosting, including understanding its deployment model, constraints, and integration points with Unity Catalog and the platform's own APIs.
• Integrate frontend applications against the platform's API layer, working closely with the Software Engineers to align on contract, authentication, and versioning as the API evolves.
• Collaborate with Lead Data Engineer and Senior AI Engineer on internal tooling requirements, translating their workflow needs into practical, well-designed interfaces.
• Own frontend code quality and maintainability. Component structure, testing, and documentation, to a standard consistent with the rest of the engineering team's practices.
• Design with the platform's varied user base in mind. From highly technical internal AI engineers to product/software teams who may have less context on the underlying model architecture.
• Contribute to frontend architecture decisions as the platform's application surface grows, including recommending patterns and tooling within what Databricks Apps and the organization’s standards support.
• Support production issues affecting frontend applications, including troubleshooting and coordinating with backend roles when an issue spans both layers.

Skills

React

Python (Streamlit/Dash)

API integration

Data visualization

UI/UX design

SQL

CI/CD

Cross-team collaboration

Testing

Frontend architecture

Tools

React

Plotly

D3.js

deck.gl

Databricks Apps

Job description

Mastercard is seeking a Senior UI Developer to join an AI product team building foundation model capabilities with enterprise impact. You will design frontend applications and interactive visualizations that translate complex model outputs into intuitive experiences for engineers and product teams.

Based in Ireland, you will collaborate with AI engineers, data scientists and software developers, own frontend quality, and contribute to architecture decisions while ensuring robust integrations