Help advance our Agentic Automation vision by making UiPath the best place to build agents without writing code, covering Agent Builder end to end and agent experiences in Maestro canvases.
Responsibilities
Set the multi-year vision for low-code agent building on UiPath, across autonomous and conversational agents, in Agent Builder and across our Maestro canvases.
Own Agent Builder end to end.
Shape Autopilot's agent-building experience.
Lead Agent Reviewer.
Design how builders set up shared capabilities (tools, context, memory, guardrails, evals) inside the builder.
Lead Manufacturing Technology Engineer responsible for driving technical solutions that bridge production and digital capabilities to improve manufacturing processes.
Responsibilities
Identify, develop and implement automation and digital solutions that improve manufacturing processes, quality and productivity.
Translate production needs into technical requirements and act as the interface between manufacturing, quality, software developers and stakeholders.
Develop and evaluate concepts, proofs of concept and scalable solutions using software, equipment integration, data collection and visualisation.
Ensure solutions are robust, user-friendly and compliant with applicable QMS, validation, data-integrity and EHS requirements.
Lead complex manufacturing technology projects from opportunity assessment and business case through implementation and benefit realisation.
Requirements
Bachelor’s or master’s degree in engineering, or equivalent technical education.
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 53,600 - 107,400 in Texas
Responsibilities
Mentor and develop talented individuals with strong leadership potential
Support global programs focused on sustainability, energy management, workplace intelligence, and digital operations
Participate in planning activities related to research and development laboratories, engineering spaces, technical infrastructure, and specialized workplace environments
Provide data driven decision support – Analyze business demand, utilization trends, capacity forecasts, and investment scenarios to support workplace and lab strategy decisions
Support initiatives related to advanced site and lab monitoring, AI infrastructure, laboratory modernization, and next-generation workplace solutions
Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability. Use standard tools, APIs, and low-code platforms to align solutions with business needs while preserving compatibility and performance.
Responsibilities
Expected to perform independently and become an SME.
Required active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to gather requirements and implement application enhancements.
Monitor application performance and troubleshoot issues to maintain optimal system functionality.
Lead a multi-disciplinary team of managed service provider resources in planning, developing, and delivering reporting, data engineering, automation, and web application solutions within Global Business Services’ Analytics and Insights organization.
Responsibilities
Lead a team of managed service provider resources supporting Analytics Enablement and Automation hubs
Ensure clear prioritization, sprint execution, and on-time delivery under a follow-the-sun model
Drive enforcement of governance, technical standards, secure data practices, and development best practices
Implement continuous improvement, automation, and modernization initiatives
Motivate and develop the team through coaching, mentoring, and structured skills frameworks
Requirements
Bachelor's degree in computer science, Information Systems, Engineering, Data & Analytics, or a related field
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