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Ping Identity is building next-generation enterprise AI governance capabilities to enable secure, scalable, and responsible adoption of AI agents. The Data Platform team is evolving governance frameworks, platforms, and operational processes to manage AI agents across the enterprise, addressing security, compliance, identity, risk management, and responsible AI.
As a Staff UI Engineer, you will design, develop, and maintain intuitive, scalable user interfaces for AI Agent Governance capabilities across platforms such as Amazon Bedrock, Google Vertex AI, Microsoft Copilot, and Azure AI Foundry. You will rapidly prototype and iterate on AI Agent Governance user experiences, evaluating emerging UI frameworks, design patterns, and industry best practices to deliver simple, intuitive, and consistent experiences as the AI ecosystem evolves.
Key responsibilities include:
- Design, develop, and maintain intuitive, scalable user interfaces for AI Agent Governance across multiple cloud platforms
- Build reusable, modular UI components and frontend capabilities using modern web technologies, with focus on usability, accessibility, responsive design, maintainability, performance, and code quality
- Drive the evolution of core Identity Governance user experiences—including certifications, lifecycle management, workflows, and Separation of Duties (SoD)—by enhancing existing UI functionality and delivering incremental features
- Partner closely with Product, UX, Support, and customer-facing teams to understand customer needs, troubleshoot UI issues, and improve user workflows
- Develop intuitive dashboards and UI experiences for monitoring AI agent performance, usage, operational health, governance status, and security
- Collaborate with platform, security, and product teams to design secure UI experiences supporting authentication, authorization, role-based access control, and least-privilege principles
- Contribute to frontend observability and operational excellence by implementing UI telemetry, logging, performance monitoring, and error handling
- Evaluate and adopt emerging AI agent platforms, interoperability standards such as MCP and Agent-to-Agent communication, and governance technologies
- Document UI architecture, design patterns, reusable components, user workflows, and engineering best practices
Requirements:
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
- 8+ years of experience in full-stack JavaScript development
- Strong proficiency in JavaScript/ES6/TypeScript, including Node.js and Express.js
- Strong expertise in Vue.js or React for building scalable and responsive user interfaces
- Experience with data visualization technologies and libraries, including Canvas, D3, and SVG
- Strong understanding of web security principles, including authentication headers, JWT, scopes, and cookies
- Experience developing unit and end-to-end tests using frameworks and tools such as Chai, Mocha, Sinon, IstanbulJS, and Cypress
- Proficiency in designing and documenting REST APIs using OpenAPI specifications
- Experience with AI agent development, LLM integrations, and RAG-based architectures using vector stores
- Knowledge of MCP server development and integration with modern AI and application frameworks
- Strong problem-solving, communication, collaboration, and technical leadership skills
