UiPath
Engineering
DirectorofSoftwareEngineering
Neural analysis suggests this role is
optimal for Director candidates.
“Director of Software Engineering at UiPath. Skills: AI architectures, Full stack systems, Engineering leadership, Cloud-native platforms. Define the vision. Drive execution across globe”
Industry & Context.
Analytical problem-solving capabilities; Navigate ambiguity
What They're Looking For.
Must Have
Bachelor's or master's degree in computer science, Engineering, or related field, or equivalent practical experience, 15+ years of software engineering experience, 8+ years leading engineering teams and large-scale technical programs, Proven experience building and scaling enterprise-grade distributed systems and cloud-native platforms, Expertise in Python, C#, Java, or JavaScript, Hands-on experience developing production AI systems using LLMs, agents, orchestration frameworks, and evaluation methodologies, Experience designing systems that combine deterministic software architectures with probabilistic AI capabilities, Understanding of system design, software architecture, distributed computing, concurrency, and scalability patterns, Experience with modern frontend technologies such as React and TypeScript, Deep knowledge of Azure, AWS, or GCP, Experience with Docker, Kubernetes, microservices, and modern DevOps practices, Demonstrated success driving engineering transformation and organizational adoption of AI-powered development tools, Exceptional communication and stakeholder management skills
Nice to Have
Experience in Healthcare Technology, Financial Technology, Procurement Technology, or other enterprise SaaS domains, Experience with Retrieval-Augmented Generation (RAG), vector databases, retrieval systems, and citation-grounded AI workflows, Knowledge of applied machine learning techniques including classification, anomaly detection, ranking, and predictive modeling, Experience building evaluation-driven AI systems and quality measurement frameworks, Familiarity with large-scale data platforms such as Snowflake, data warehouses, and analytical ecosystems, Experience leading globally distributed engineering organizations
What You'll Do.
Drive execution across globe
Scale the engineering organization
Lead with Customer first mindset
Define and execute the engineering vision
Make architectural decisions across backend
Establish engineering standards
Establish design principles
Establish operational best practices for AI-native product development
Lead the development of production-grade AI applications
tool-calling frameworks
and workflow orchestration
Drive adoption of modern AI engineering practices
Guide teams in designing agentic systems
Champion experimentation and rapid prototyping
Ensure production readiness and scalability
Partner closely with Product
Align technology investments with strategic objectives
Build high-performing engineering teams
Mentor high-performing engineering teams
Scale high-performing engineering teams across multiple product areas
Foster a culture of ownership
Foster a culture of innovation
Foster a culture of accountability
Foster a culture of customer obsession
Oversee end-to-end execution of complex
cross-functional initiatives
Drive engineering productivity through AI-powered development tools
Drive engineering productivity through modern software development practices
Ensure operational excellence through robust CI/CD pipelines
Ensure operational excellence through observability
Ensure operational excellence through reliability engineering
Ensure operational excellence through cloud-native architectures
Manage technical risk
Manage architecture evolution
Manage platform scalability as products grow
How You'll Work.
Team & Collaboration
Partner with Product; Partner with Design; Partner with Data Science; Partner with Business stakeholders; Cross-functional initiatives; Globally distributed engineering organizations
Communication Scope
Executive-level decisions; Stakeholder management
Process & Methodology
Roadmap planning, Agile, DevOps practices
Full Job 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 Join the Vertical Solutions team and lead one of UiPath's most strategic and innovative initiatives. As Director of Software Engineering, you will be responsible for defining the vision, driving execution across globe, foster innovation, and scale the engineering organization. The ideal candidate brings a unique blend of deep technical expertise in modern AI architectures and full stack systems, with strong people leadership, and a proven track record of creating meaningful customer and business impact. You thrive in fast-paced environments, navigate ambiguity with confidence, and inspire teams to move from vision to execution while maintaining a high bar for quality, scalability, and operational excellence. WHAT YOU'LL DO AT UIPATH Technical Leadership & Strategy - Drive Innovation and lead with Customer first mindset. - Define and execute the engineering vision, and architectural decisions facross backend, frontend, and AI products - Drive architectural decisions across backend, frontend, and AI systems. - Establish engineering standards, design principles, and operational best practices for AI-native product development. AI Systems & Innovation - Lead the development of production-grade AI applications leveraging LLMs, agents, tool-calling frameworks, and workflow orchestration systems. - Drive adoption of modern AI engineering practices including evaluation frameworks, regression testing, observability, and human-in-the-loop workflows. - Guide teams in designing agentic systems uti
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