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Ashling
Intelligent Automation DeveloperAshling • Toronto, Canada
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Intelligent Automation Developer

Intelligent Automation Developer

Ashling • Toronto, Canada
6 days ago
Job type
  • Full-time
Job description
Ashling Partners specializes in intelligent automation, RPA, Process Intelligence, agentic AI, data capture/OCR, and Machine Learning technologies. Our team utilizes lean agile principles to ensure automation gains are sustainable and serve as a catalyst for digital innovation.

Location Consultants and Senior Consultants for hybrid work within commuting distance of Toronto or Montreal.

What You Will Do

Serve as primary point of contact with assigned customers and liaise between customers and internal resources. Participate in key project management activities throughout the project, including stand-ups, status calls, and governance meetings.

Collaborate with Process Owners and Subject Matter Experts (SMEs) to define requirements of current-state business processes to support the design of the future-state AI and automation solutions, including Agentic.

Collaborate with business analysts and process owners to design and develop automation solutions using platforms such as UiPath, Automation Anywhere, Blue Prism, or other RPA tools.

Participate in design workshops with clients to provide technical recommendations related to design, performance, scalability, availability, maintainability, and reusability.

Create and maintain delivery lifecycle documentation with internal team and customer collaboration where required. Drive client approvals for stage-gate compliance where required.

Participate in all stages of the development lifecycle — discovery, design, development, user acceptance testing, deployment, and post-deployment support (hypercare).

Support customers by providing answers, expertise, and insights as needed.

Evaluate business processes for automation and AI suitability and build supporting business cases.

Build benefit realization analytics and dashboards to quantify and report business impact of solutions.

Accountable for high client NPS (net promoter score) to ensure we deliver quality, excellence and value.

Ensure smooth transition of code to the support team to guarantee effective client support.

Collaborate with internal solution architects to optimize infrastructure requirements for RPA deployment.

Identify and promote reusable assets as part of internal research and development initiatives.

Combine technical expertise with effective client relationship management.

Demonstrate a strong motivation to learn new programs and technologies.

Mentor and support developer peers with both business analysis, technical development questions, and best practices.

What You Will Bring

Bachelor’s Degree, preferably in Computer Science, Business/Information Technology, or related field.

Communication Skills:

Strong verbal and written communication skills for interacting with both technical and non-technical stakeholders.

Project Management:

Ability to manage tasks efficiently, prioritize workload, and meet deadlines.

Continuous Learning:

Eagerness to learn and adopt new tools, technologies, and best practices in automation.

Analytical Skills:

Excellent analytical and problem‑solving skills with high attention to detail.

Generative AI and Prompt Engineering:

Familiarity with Generative AI tools, including prompting best practices, structuring effective queries, and interacting with agentic or assistant-style applications (e.g., ChatGPT, Claude, Copilot).

Automation Tools:

Experience with workflow automation programs such as UiPath, Power Platform, Blue Prism.

Analytics and Data Visualization:

Experience using business intelligence and data visualization tools (e.g., Power BI, Tableau, Looker) to create dashboards.

Relational Database Fundamentals:

High level understanding of SQL, CRUD commands, and database integrations with automation solutions is an advantage.

API Integration:

Knowledge of RESTful and SOAP APIs for integrating automation solutions with external systems is an advantage.

Cloud Platforms:

Familiarity with cloud environments (AWS, Azure, or Google Cloud) for deploying and managing solutions is an advantage.

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Intelligent Automation Developer • Toronto, Canada

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