Demo

Intelligent Automation Analyst

Veridic Solutions
Reading, MA Full Time
POSTED ON 3/3/2025
AVAILABLE BEFORE 5/28/2025

Top Skills Required / Notes :

From Call with HM :

  • degree is a must have.
  • He's not married to a specific total YOE. Look for someone who has a couple of years of experience with the must haves and he'll entertain that.
  • UiPath with exposure to some of the AI components of UiPath is a must have. Said he would consider someone with strong RPA exp with other tools if they have the AI exposure to advise on use cases.
  • Call center / agentic experience- highly preferred.

What this role is actually doing : This supports call center technology. They have a lot of rpa automations in use on the back end and they are wanting to get more into the front end of things ie agentic orchestration or agentic AI. If you call and say I'm changing my name / my name is spelled wrong. Today, front agents create a ticket, someone in back office will correct it. Reason is they want to make sure it is correct, do some validations etc. Process calls for validations- drivers license, bill etc. Behind scenes, they have automated all of this. They now want to bring to front agents. From AI perspective, needs to understand I'm asking for a name change. Send a link to upload license. IF they cannot figure out, then ticket is created. This person will be helping them identify best use cases for this. Looking at TMS system, automations platform, what applications are doing, and understanding how RPA can enrich this.

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
  • ble 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 Client 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.
  • nalyze 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.
  • ssist 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
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