What are the responsibilities and job description for the UIPATH ANALYST position at Veridic Solutions?
Required Skills & Qualifications
Technical
· Bachelor’s degree in computer science, Data Science, or a related field.
· Experience with RPA tools (UiPath, Blue Prism, Automation Anywhere) and workflow automation.
· Expertise in intelligent automation, autonomous agents, and self-learning AI models.
· Familiarity with process mining, business process automation (BPA), and AI-driven decision support systems.
· Experience integrating AI models into RPA workflows and orchestrating multi-agent systems.
Non-technical
· Sales approach oriented
· Business process and data analysis
· Self-motivated
· Creative thinker
· Critical thinking
· Able to easily communicate with executives and business process owners
Preferred Qualifications
Certification in RPA tools (UiPath Advanced Developer, Blue Prism Developer, etc.).
Experience with generative AI models (GPT, LLMs) for adaptive automation.
Experience in Intelligent Document Processing (IDP) using AI and OCR tools.
Description:
Job Summary
We are seeking an Intelligent Automation Analyst with AI & Agentic AI Experience. The Analyst will discover and describe intelligent automation opportunities & solutions to business leaders, clearly articulating their value and risk. This role requires expertise in Robotic Process Automation (RPA), AI-driven automation, and agentic AI approaches to optimize business processes, enhance decision-making, and improve operational efficiency.
Key Responsibilities
· Identify new Intelligent Automation opportunities for consideration
· Collaborate with cross-functional teams and business stakeholders to gain a comprehensive understanding of various business processes and operations.
· Analyze business processes, Identify and assess potential opportunities for automation
· Document process flow and optimize them by leveraging RPA, AI, and intelligent automation techniques.
· Implement AI-driven automation with agentic AI capabilities, enabling adaptive and autonomous decision-making for process optimization.
· Assist in building and deploying AI agents that can independently handle complex business tasks, interact with systems dynamically, and adapt to changing conditions.
· Extract and analyze business and automation data to uncover patterns, optimize processes, and improve efficiency.
· Stay updated on advancements in agentic AI, RPA, and AI-driven process automation to drive innovation.
· Work with automation and business teams to align automation initiatives with organizational goals.
· Establish trust from business and technology partners in AI-based technical capabilities through risk-appropriate approaches and consistent business valued projects
· Develop and maintain design & approach patterns in the Intelligent Automation space to promote efficiency and sustainability