Design Systems Engineer

HalliburtonHouston, TX
Onsite

About The Position

Halliburton is building a next-generation user experience platform to unify design, engineering, and intelligent systems across a global portfolio of enterprise applications. This platform extends beyond a traditional design system. It establishes a scalable foundation for UI development across multiple frameworks, while enabling AI-assisted and AI-generated interfaces that remain consistent, governed, and production-ready. We are seeking a Design Systems Engineer to define and scale this foundation. You will architect how design tokens, components, and interaction models flow from design tools into production code—and how emerging AI systems integrate into that pipeline. This role sits at the intersection of frontend engineering, design systems, and AI-enabled development. We are intentionally looking for candidates who can bridge these domains.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Design, Human-Computer Interaction, or a related field—or equivalent practical experience
  • 6–10+ years of experience in frontend engineering, design systems, or platform development
  • Strong proficiency in JavaScript/TypeScript and modern frameworks (React and/or Angular)
  • Demonstrated experience building or contributing to design systems, token architectures, or UI platforms
  • Experience working with scalable systems, APIs, or automation pipelines
  • Ability to operate comfortably across design and engineering domains
  • Experience building design-to-code pipelines at scale
  • Strong systems thinking and ability to connect tools, workflows, and platforms
  • Curiosity and initiative in exploring new technologies and ways of working

Nice To Haves

  • Experience working with Figma APIs, plugins, or design tooling ecosystems
  • Experience building internal platforms, developer tooling, or system infrastructure
  • Familiarity with multi-framework UI architecture
  • Experience collaborating deeply with both design and engineering teams
  • Experience using or integrating LLMs (e.g., Claude, GPT) into development or design workflows
  • Understanding of how to structure systems for AI-assisted or AI-generated UI
  • Ability to design guardrails, validation layers, and synchronization mechanisms for AI-generated outputs
  • Hands-on experience or strong interest in emerging tools for generative design and development

Responsibilities

  • Architect and maintain the end-to-end design system pipeline (design → tokens → code → production)
  • Build and scale design token infrastructure, including transformation, versioning, and distribution
  • Develop integrations between design tools, codebases, and AI-assisted tooling
  • Define and implement systems for AI-generated UI, ensuring outputs align with system standards and production requirements
  • Integrate tools such as Claude, Figma AI capabilities, and code generation systems into workflows
  • Build and maintain automation pipelines (CI/CD) for: Token synchronization, Component publishing, System validation and regression detection
  • Enable multi-framework support (Angular, React, and others) through shared architecture
  • Develop internal tooling (CLI, APIs, IDE integrations) to improve developer experience
  • Establish mechanisms to ensure design, code, and AI outputs remain aligned over time
  • Partner closely with designers and engineers to evolve the platform based on real product usage

Benefits

  • Comprehensive and affordable benefits package
  • Support for physical, emotional, financial and parental needs
  • Access to a wide range of resources designed to help you thrive at work and at home
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