RPA Automation Architect

24 hours ago


Toronto, Ontario, Canada AceStack Full time

Job Title: RPA Automation Architect

Location: Toronto, ON (Hybrid – 3 days onsite)

Duration: 6–12 Months Contract

Domain: Banking / Financial Services (Preferred)

Job Summary

We are looking for an experienced
RPA Automation Architect
to design, govern, and scale enterprise automation solutions. The ideal candidate will bring strong RPA architecture expertise, with
banking or financial services exposure preferred
, and will work closely with business and technology teams to deliver secure, scalable automation platforms.

Key Responsibilities

  • Define and own
    RPA solution architecture
    aligned with enterprise IT standards
  • Establish
    automation frameworks, best practices, and governance models
  • Design scalable RPA solutions for complex business processes
  • Collaborate with Business, IT, Security, Risk, and Compliance stakeholders
  • Review solution designs, bot development standards, and deployment strategies
  • Ensure performance, reliability, reusability, and maintainability of bots
  • Integrate RPA with enterprise systems (Core applications, APIs, Databases, Legacy systems)
  • Support RPA
    Center of Excellence (COE)
    initiatives
  • Mentor RPA developers and provide technical leadership
  • Oversee production deployments, monitoring, and support

Required Skills & Experience

Core RPA & Architecture

  • 10+ years of overall IT experience
  • 5+ years of hands-on experience in
    RPA / Intelligent Automation
  • Strong experience as an
    RPA Architect or Technical Lead
  • Expertise in one or more RPA tools:
  • UiPath (Preferred)
  • Automation Anywhere
  • Blue Prism
  • Experience with
    Orchestrator / Control Room
    setup and management
  • Strong understanding of
    bot lifecycle management, exception handling, and logging

Technical Skills

  • Experience with
    API integrations (REST/SOAP)
    and web services
  • Strong SQL and database knowledge
  • Exposure to
    OCR, AI/ML, or Intelligent Document Processing (IDP)
    is a plus
  • Experience working in
    Cloud environments (Azure/AWS)
    preferred
  • Solid understanding of
    security, access controls, and audit requirements


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