Generative AI UX Designer

SLB; Houston (TX); Hybrid; USD 110,000 - 170,000; Full time

Job summary

SLB is seeking a forward-thinking Product Designer to define the next generation of AI-native software in Houston. You will architect agentic workflows, build Generative UI systems, and translate complex business logic into elegant user journeys with human-in-the-loop considerations.

You will lead end-to-end product design from discovery to high-fidelity UI, prototyping, and developer handoff, collaborating with ML/AI engineers and data scientists to deliver context-aware interfaces that adapt

Qualifications

• 5+ years of digital product design experience, with AI-powered or agentic features.
• Experience shipping multi-agent or conversational interfaces in production.
• Strong portfolio showing end-to-end problem solving and complex workflows.
• Ability to design for dynamic, context-aware AI-enabled experiences.

Responsibilities

• Architect Agentic & Non-Linear Workflows balancing human control and AI autonomy.
• Design Generative & Adaptive UI systems with dynamic patterns and tokens.
• Orchestrate probabilistic UX, addressing AI uncertainty and trust.
• Lead end-to-end product design from discovery to handoff.
• Create clear, intuitive user flows across modern interaction patterns.
• Conduct user research, usability testing, and rapid prototyping.
• Collaborate with ML/AI engineers, PMs, and data scientists to translate capabilities into UX.

Skills

Agentic UI mastery

Design systems & Generative UI

Prototyping craft

Portfolio

Cross-functional collaboration

Education

Bachelor's Degree in HCI/Design

Tools

React

Vercel AI SDK

Job description

SLB is seeking a forward-thinking Product Designer to define the next generation of AI-native software in Houston. You will architect agentic workflows, build Generative UI systems, and translate complex business logic into elegant user journeys with human-in-the-loop considerations.

You will lead end-to-end product design from discovery to high-fidelity UI, prototyping, and developer handoff, collaborating with ML/AI engineers and data scientists to deliver context-aware interfaces that adapt