Imagine building the analytics layer that millions of business users rely on to understand their data. At Appian, we don't just ship features, we build the reporting, charting, and AI-powered insights engine at the heart of the Appian platform. Our work spans from interactive chart builders and drag-and-drop dashboards to LLM-powered copilots that generate KPIs and insight summaries from process data. If you want to work across the full stack, from database schema design to chart components to AI prompt pipelines, this is the role.
To be considered for this role you must be authorized to work in the US without sponsorship.
About the Role:
We're looking for a Senior Software Engineer who thrives in a multi-language, full-stack environment and wants to shape how enterprise users discover insights from their data. You'll design and build features end-to-end: from schema migrations and Spring/Hibernate service layers, through Java and SAIL (our proprietary functional UI language) with Redux state management, to TypeScript/React chart components.
On the AI side, you'll extend our LLM copilot infrastructure, building prompt pipelines, validation actions, and suggestion services that use large language models to generate KPIs, insight summaries, and event recommendations from process mining data.
What You'll Do:
- Design and implement full-stack features across Java services, SAIL interfaces, and React/TypeScript chart components
- Build and extend AI copilot pipelines that use LLMs to generate process insights, KPI suggestions, and actionable recommendations
- Own features from database schema (Liquibase/JPA) through API layer (Spring) to interactive UI
- Develop rich data visualization experiences: chart configuration UIs, dashboard builders, and report designers
- Write interface-first Java with constructor injection and proper layering
- Contribute to SAIL system rules using functional programming patterns, Redux state management, and deferred evaluation
- Build and maintain TypeScript/React chart widgets that render complex configurations
- Lead feature development with spec-driven workflows, mentor engineers, and conduct thorough code reviews
- Ensure reliability through comprehensive testing (unit expression tests, integration tests, UI tests, migration tests)
- Collaborate on feature breakdowns, sizing, and architectural decisions with your squad
What We're Looking For:
Required:
- BS in Computer Science (4+ years experience) or MS in Computer Science (2+ years experience)
- Strong Java fundamentals - Spring Framework, Hibernate/JPA, interface-first architecture, dependency injection
- Experience building interactive web UIs with TypeScript/React (or similar component frameworks)
- Comfort with functional programming concepts (immutability, higher-order functions, declarative UI)
- Experience with relational databases - schema design, migrations, query optimization
- Demonstrated ability to work across multiple languages and layers in a single feature
- Strong testing discipline - unit, integration, and UI-level tests
- Excellent communication skills and ability to mentor others
Preferred:
- Experience with data visualization libraries (Highcharts, D3, Chart.js, or similar)
- Experience integrating LLMs/AI into production features (prompt engineering, pipeline design, response validation)
- Familiarity with Redux or similar state management patterns
- Experience with Gradle build systems and CI/CD pipelines
- Background in analytics, reporting, or business intelligence tooling
- Experience with process mining or operational intelligence
This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian.