Intermediate RPA Software Developer; UiPath and PowerAutomate
Job in
Old Toronto, Toronto, Ontario, M5A, Canada
Listing for:
Intact Financial Corporation
Full Time
position
Listed on 2026-06-18
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Intermediate RPA Software Developer (UiPath and PowerAutomate)
Location: Old TorontoPay at Intact is about much more than just salary.
Flexible work arrangements and a hybrid work model
Possibility to purchase up to 5 extra days off per year
Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
Salary range (but not limited to):
80,700 - 98,700
Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):
10%
As part of our commitment to Win As A Team
, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.
Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.
Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.
About the role
We’re looking for a Intermediate RPA Software Developer (UiPath and Power Automate) to join our growing team!
What You’ll Do
Design, develop, and maintain RPA automations using UiPath and Power AutomateIdentify and implement opportunities to augment RPA with LLMs (e.g., summarization, classification, extraction, routing, and reasoning support).Build agentic workflows (tool-using AI agents) that can plan steps, call internal tools/APIs, and execute actions with appropriate guardrails.Collaborate with BAs and stakeholders to gather requirements, document processes (PDD/SDD), and identify automation opportunities.Create resilient automations with strong exception handling, logging, monitoring, and auditability.Integrate automations with enterprise systems (web apps, CRM, email, APIs, databases).Support testing (unit/integration/UAT), deployment, and production support; troubleshoot issues and perform root-cause analysis.Required Qualifications
3+ years (or equivalent) hands-on experience developing RPA solutionsBachelor’s degree in Information Technology, Computer Science, Software Engineering, or a related field (or equivalent practical experience).Uipath and Power Automate certifiedStrong understanding of RPA concepts: selectors, queues, orchestrations, credential vaults.Experience with structured error handlingWorking knowledge of SQL and relational databases.Scripting/programming experience:
Python, C#, , JavaScript.Preferred Qualifications
Experience building or integrating agentic AI frameworksFamiliarity with LLMs and generative AI concepts, such as:
Prompting patterns and RAG basics
Tool/function calling concepts Evaluation concepts (accuracy, hallucination risk, human in the loop)Experience integrating with LLM providers (e.g., OpenAI, AWS Bedrock)Experience with document automation and unstructured data processing.For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.No Canadian work experience required however must be eligible to work in Canada.#LI-Hybrid
Ce poste jouera un rôle essentiel au sein de notre équipe. | This position will fill an essential role in our team.
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