Solution Architect

Description

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?”

Responsibilities

• 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, human checkpoints, and escalation paths before go-live.
• Deploy and operationalize AI agents in production customer environments, including APIs, data pipelines, and integration with existing systems.
• Act as a trusted technical advisor: translate requirements into architecture and explain design choices, risks, and trade-offs to audiences from engineers to executives.
• Set the standards, reusable patterns, and design reviews that govern delivery from discovery to hypercare; mentor developers and keep the architecture something customers can operate themselves.
• Feed field findings such as failure patterns, missing capabilities, design gaps; back into the product roadmap and into reusable assets and accelerators.
• What you'll bring to the team
• 7+ years of hands-on software development in Python, C, TypeScript, VB.NET , or comparable languages, with production-quality code and solid CS fundamentals.
• 4+ years building UiPath automation workflows, with working knowledge of Orchestrator, Document Understanding, Action Apps, AI Center, and Insights.
• Command of UiPath design patterns - Robotic Enterprise Framework, Document Understanding Framework, orchestration processes - and the judgment to know when each fits.
• Hands-on experience building, deploying, or operating LLM-based agents and agentic workflows (tool/function calling, RAG, multi-step orchestration, LangChain/LangGraph, Model Context Protocol), ideally in production.
• Working understanding of prompting, grounding, and hallucination - and the judgment to keep agent behaviour inside acceptable bounds once it is live.
• Proven customer-facing track record in a forward-deployed, professional services, implementation, or consulting role: leading technical workshops, managing stakeholders, delivering under real-world constraints.
• Technical leadership across globally distributed teams - driving strategy, mentoring engineers, establishing best practices.
• Experience designing end-to-end solutions across applications, APIs, and automation platforms, with a deep grasp of the design choices that make a system scalable, reliable, and fast.
• Excellent written and verbal English, with the ability to present complex architecture and delivery risk to executive stakeholders.
• Degree in Computer Science, Engineering, AI, or a related technical field, or equivalent practical experience.
• Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
• Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.