User Experience Designer

SLB•Houston, TX
•Hybrid

About The Position

SLB is seeking a forward-thinking Product Designer to help define the next generation of AI-native software. The role focuses on designing agentic workflows in which autonomous AI agents assist users with complex, multi-step tasks, and translating complicated business logic and ambiguous user problems into clear, seamless journeys. The designer will create Generative UI systems that support context-aware interfaces adapting in real time to model outputs, structured data, and human feedback. The position leads end-to-end product design, from discovery and problem definition through high-fidelity design, interactive prototyping, validation, and developer handoff. It involves close collaboration with design systems and engineering teams, as well as ML/AI Engineers, Product Managers, and Data Scientists, to turn AI capabilities into intuitive user experiences. SLB describes its workplace arrangement as hybrid, with a combination of on-site and home-working days.

Requirements

  • At least 5 years of digital product design experience, including direct experience shipping AI-powered, conversational, or agentic features in production.
  • Demonstrated understanding of multi-agent patterns, command interfaces, canvas-based workspaces, tool calling, and human-in-the-loop guardrails.
  • Experience structuring design tokens and component libraries for dynamic consumption by AI models and front-end frameworks.
  • High proficiency in high-fidelity interactive prototyping for multi-state AI interactions, micro-animations, and dynamic UI transitions.
  • A portfolio demonstrating end-to-end problem solving, strong UI craft, customer empathy, and experience with complex user workflows.
  • Bachelor's degree in HCI or Design, or work experience designing and building agentic experiences.
  • Good oral and written communication skills.

Nice To Haves

  • Experience with React or the Vercel AI SDK.

Responsibilities

  • Design agentic and non-linear workflows for autonomous and semi-autonomous AI agents, balancing human control with system autonomy through approval checkpoints, override states, and feedback loops.
  • Partner with design systems and engineering teams to develop generative and adaptive UI patterns, including dynamic cards, flexible canvases, and UI tokens that support on-the-fly component rendering.
  • Design for AI uncertainty, confidence levels, latency, loading states, and hallucination handling, using transparent, accountable, and explainable interaction patterns to build user trust.
  • Lead product design from discovery and problem definition through high-fidelity UI design, interactive prototyping, and developer handoff.
  • Create clear user flows across traditional and emerging interaction patterns, including adaptive cards, generative UI components, and intelligent assistants.
  • Conduct qualitative research, usability testing, and rapid prototyping to validate assumptions and iterate based on user feedback.
  • Collaborate with ML/AI Engineers, Product Managers, and Data Scientists to turn model capabilities, APIs, tools, and RAG pipelines into intuitive user experiences.
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