Primary record

Solution Architect

UiPath Indexed employerBucharest
Source-hosted applyChecked 2h agoFull-Time
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Workplace

On-site

Employment

Full-Time

Published

Aug 19, 2026

Closes

No date supplied

The role

LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION AI agents are non-deterministic: the same input can produce different outputs across runs. Designing enterprise automation around them takes a different discipline than deterministic RPA; grounded context, dynamic decision logic, and guardrails instead of fixed, scripted paths. This is a forward-deployed, customer-facing engineering role. You will work side by side with enterprise and public sector customers to design, build, and harden agentic workflows in their live environments; combining the hands-on coding of a software engineer, the platform depth of a UiPath specialist, and the end-to-end perspective of a solution architect. You will own the question every customer asks before putting an AI agent into production: “How do we know we can trust it?” WHAT YOU'LL DO AT UIPATH - Own the end-to-end architecture for UiPath automation and agentic programs at customer sites - agents, RPA workflows, integrations, data, and human-in-the-loop steps - and document the trade-offs behind it. - Design agentic workflows that combine LLM decision-making with tool and function calling, context grounding, and deterministic fallbacks, so behaviour stays predictable where the business needs it to be. - Architect Document Understanding pipelines - extraction, classification, validation - and the Python services that connect them to customer systems. - Choose the right GenAI/ML technique per problem; prompting, retrieval and context grounding, or a trained model in AI Center; and set the guardrails, hum

Requirements

Department: Services; Team: Services