Lead UX Designer
Role Overview
EPAM is seeking a Lead UX Designer to shape enterprise agentic experiences.
The role covers conversational workflows, multi-step task orchestration, contextual interventions, and trust-calibration patterns.
The designer will help define how developers and knowledge workers collaborate with AI agents.
Key Skills for This Role
Full Job Posting
Role overview
EPAM is seeking a Lead UX Designer to shape enterprise agentic experiences.
The role covers conversational workflows, multi-step task orchestration, contextual interventions, and trust-calibration patterns.
The designer will help define how developers and knowledge workers collaborate with AI agents.
Responsibilities
- Own end-to-end experience design for enterprise agentic interfaces.
- Create trust-calibration patterns for delegating to, collaborating with, and supervising AI agents.
- Architect intent communication, ambiguity handling, repair, fallback, and coherence across multi-agent interactions.
- Maintain a clear user mental model of responsibility during complex agent interactions.
- Translate ambiguous problem spaces into coherent, testable experience frameworks.
- Shape the agentic experience framework, design system, interaction patterns, and heuristics.
- Deliver production-ready designs and define standards for agentic experience behavior.
- Create functional prototypes with vibe coding and generative AI.
- Use LLM-assisted workflows for research synthesis and specification writing.
- Explain design rationale to engineering and product partners.
Requirements
- 10-15 years of UX design experience with a strong portfolio of complex, multi-state interaction design.
- Expert knowledge of conversational design, dialogue scripting, ambiguity handling, and multi-turn coherence.
- Experience with enterprise agentic interfaces, multi-step task orchestration, and trust-calibration patterns.
- Hands-on proficiency with UX/UI design tools.
- Fluency with AI-native design and prototyping tools, including vibe coding and LLM-assisted workflows.
- Ability to use AI tools iteratively while recognizing when human judgment is required.
- Track record of turning ambiguous problems into coherent, testable experience frameworks.
- Understanding of governance and access constraints in enterprise ecosystems.
- Strong communication of design rationale to engineering and product partners.
- English proficiency at Upper-Intermediate level (B2) or higher.
Benefits and development
- The employer offers learning opportunities, external certification opportunities, and access to LinkedIn Learning.
- Benefits include health, retirement, paid time off, and flexible benefits.
- The role includes opportunities to work on international projects and participate in Tech Talks and Hackathons.
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