Solutions Architect

INVOKE

Montreal (administrative region)

On-site

CAD 80,000 - 120,000

Full time

14 days+

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Job summary

INVOKE is seeking a Solutions Architect in Montreal to design and implement automation solutions using UiPath. This client-facing role is essential for delivering end-to-end solutions, ensuring technical excellence and scalability. Responsibilities include defining architecture, leading development teams, and collaborating with clients. The ideal candidate has over 3 years of UiPath experience and 2 years in a Solutions Architect position, with strong communication and problem-solving skills. This role supports innovation and continuous improvement across automation workflows.

Qualifications

  • 3+ years of hands-on experience with UiPath as a developer.
  • 2+ years of experience in a Solutions Architect or similar role within RPA.
  • Strong understanding of automation architecture and best practices.

Responsibilities

  • Design end-to-end automation solutions using UiPath.
  • Define architecture, standards, and frameworks for automation solutions.
  • Provide technical oversight to development teams.

Skills

UiPath
Automation architecture
Client-facing communication
Technical guidance
Python or C#

Tools

AWS
Azure

Job description

Invoke is a consulting and Innovation firm focused on delivering Intelligent Automation solutions that solve real operational challenges. We partner with organizations across industries to design and implement scalable RPA and AI-driven workflows that improve efficiency, accuracy, and reliability.

Our teams work hands-on with clients to automate complex processes across a range of systems, from modern applications to legacy environments. Whether it’s streamlining high-volume workflows or improving data quality and consistency, our goal is to build automation solutions that are practical, maintainable, and impactful.

We are looking for a Solutions Architect to join our team, with a strong focus on UiPath and automation solutions. In this role, you will work closely with clients and internal teams to design, guide, and deliver end-to-end automation and AI-enabled solutions.

This is a client-facing role that sits at the intersection of architecture, delivery, and pre-sales, ensuring that proposed solutions are both technically sound and executable in real-world environments.

Responsibilities
  • Design end-to-end automation solutions using UiPath, aligned with business and technical requirements
  • Define architecture, standards, and reusable frameworks for automation and AI-enabled solutions
  • Translate business requirements into technical designs and delivery plans
  • Lead the lifecycle of solutions from discovery through design, development, testing, and deployment
  • Provide technical oversight to development teams, including guidance and code reviews
  • Ensure solutions meet security, governance, and enterprise architecture standards
  • Collaborate with stakeholders to identify automation and AI opportunities
  • Support pre-sales activities, including solution design, client presentations, and proposal input
  • Contribute to shaping new opportunities by aligning solutions with client needs
  • Drive continuous improvement, scalability, and innovation across automation solutions
Qualifications
  • 3+ years of hands-on experience with UiPath as a developer
  • 2+ years of experience in a Solutions Architect, Technical Lead, or similar role within RPA or automation
  • Strong understanding of automation architecture, including UiPath best practices and framework design
  • Experience designing and delivering end-to-end automation solutions
  • Ability to translate business requirements into structured, practical technical solutions
  • Experience working in client-facing environments
  • Strong communication skills, with the ability to explain technical concepts clearly
  • Experience providing technical guidance or oversight to development teams
Nice To Have
  • Experience with additional programming languages (e.g., Python, C#, or similar)
  • Exposure to AI, machine learning, or agentic automation concepts
  • Experience in consulting or professional services environments
  • Familiarity with cloud platforms (AWS, Azure)
  • Background in software development or engineering
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