Power Platform Developer jobs at Ey in Canada, Toronto

You will also integrate with line of business applications like Microsoft Dynamics 365. While many of our solutions extend Microsoft Dynamics 365, this role also involves extending and integrating with other enterprise systems such as SAP, Salesforce, and industry-specific platforms. You will help our clients harness the Power Platform to create modern omnichannel experiences, empower employees, and enable new business capabilities, while also guiding adoption models, governance, and community enablement.

Your key responsibilities

• Lead presales activities by designing and delivering compelling demos of Microsoft Copilot Studio and Power Platform solutions tailored to client needs.
• Architect and deliver enterprise-scale applications using Power Platform (Canvas, Model-driven, Power Automate, Power Pages) integrated with Dataverse and external systems.
• Design customer- and employee-facing applications that support omnichannel service, digital self-service, and workforce enablement scenarios.
• Leverage emerging AI capabilities, including Copilot Studio (multi-agent orchestration, plugins/actions, grounding) and Azure AI Foundry, and begin to apply Agentic AI approaches to create adaptive, intelligent solutions.Assess AI readiness for clients including data governance, compliance, and infrastructure prerequisites for deploying Copilot and autonomous agent.
• Develop integration patterns to extend ERP/CRM platforms such as Microsoft Dynamics 365, SAP, or Salesforce, and connect Power Platform with line-of-business applications and external APIs.
• Advise clients on licensing, architecture trade-offs, and cost models, shaping solution design for scalability and sustainability.
• Provide technical leadership in solution design, architecture documentation, and strategic decision-making across cloud and business application landscapes.
• Support and lead junior technical team members by sharing best practices, providing design recommendations, offering guidance on complex challenges, and conducting peer reviews to ensure high-quality deliverables and continuous learning.Drive delivery excellence: guide backlog shaping, oversee sprint-level architecture, and ensure non-functional requirements such as performance, security, and maintainability are met.
• Mentor and coach EY delivery teams and client stakeholders on Power Platform best practices, including secure development and AI safety considerations.
• Support business development by contributing to proposals, creating proofs-of-concept and demos, and engaging with client executives to shape solution vision.
• Promote adoption and governance by advising clients on Center of Excellence models, Managed Environments, and enabling federated maker communities that balance innovation with control.
• Advance EY’s practice maturity through reusable reference architectures, solution accelerators, and delivery playbooks tailored for Power Platform engagements.

Skills and attributes for success

• Delivery leadership: serve as the accountable architect for major Power Platform programs, ensuring technical quality, scalability, and business value from blueprint through go-live.
• Business development: support pursuits by shaping solution architectures, creating compelling demos, and articulating the business impact of Power Platform and AI-driven solutions.
• Practice maturity: contribute to EY’s Microsoft Business Applications and Power Platform competency by codifying solution patterns, accelerators, and delivery frameworks.
• Adoption & governance: advise clients on enabling federated maker communities, platform guardrails, and CoE/ALM models to drive safe and scalable adoption of Power Platform.

To qualify for the role, you must have:

• 10+ years in enterprise solution architecture, with at least 5 years hands-on experience delivering solutions with Microsoft Power Platform (Canvas and Model-driven apps, Power Automate, Dataverse, Power Pages).
• Proven experience building robust applications that are customer- or employee-facing, enabling omnichannel service, digital engagement, or workforce empowerment—not just process automation.
• Track record extending Power Platform alongside enterprise applications such as Microsoft Dynamics 365, SAP, Salesforce, or other industry platforms.
• Hands-on delivery experience with AI-driven solutions, including Copilot Studio and Azure AI Foundry; familiarity with emerging patterns in Agentic AI.
• Integration expertise across Microsoft ecosystem and third-party APIs, with an understanding of event-driven and API-first patterns.
• Experience advising on governance, ALM, and community enablement (CoE Starter Kit, Managed Environments, ALM Accelerator, and fostering federated maker communities).
• Strong consulting skills: client-facing leadership, solution shaping, workshop facilitation, pre-sales contributions, and executive communication.

Ideally, you’ll also have

• Microsoft certification: Power Platform Solution Architect Expert (PL-600).
• Additional certifications: PL-400 (Developer Associate), PL-200 (Functional Consultant Associate), PL-300 (Power BI Data Analyst).
• Relevant AI certifications such as AI-102 (Azure AI Engineer Associate) or AI-900 (Azure AI Fundamentals).

What we look for

• We’re interested in talented professionals with the ability to design and deliver a customer self-service portal built on Power Pages integrated with SAP order management, supported by Copilot Studio agents for digital assistance.
• Build an employee-facing mobile app using Canvas Power Apps and Power Automate to streamline field operations, integrated with Dynamics 365 or other ERP platforms.
• Extend a CRM or ERP platform with AI-driven copilots using Copilot Studio, Azure AI Foundry, and agentic AI principles for adaptive workflows.
• Guide a client’s IT and business leaders in standing up a Managed Environment and CoE to govern a federated maker community, enabling innovation while maintaining compliance.

Your key responsibilities

• Fullstack Development: Lead the design, development, and deployment of fullstack applications, ensuring high performance and responsiveness across the UI and backend.
• UI/UX Integration: Collaborate with UI/UX designers to implement visually appealing and user-friendly interfaces that integrate AI outputs effectively.
• Team Leadership: Lead and manage a fullstack development team, both onshore and offshore, ensuring effective collaboration and communication across all team members.
• Collaboration: Work closely with business stakeholders and backend teams to gather requirements, translate them into technical specifications, and deliver robust solutions.
• Code Quality: Maintain high standards of code quality through best practices, code reviews, and continuous integration/continuous deployment (CI/CD) processes.
• Technical Leadership: Provide technical guidance and mentorship to junior developers, fostering a culture of collaboration and innovation within the team.
• Problem-Solving: Identify and troubleshoot issues across the fullstack, ensuring timely resolution and minimal disruption to development processes.
• Continuous Improvement: Stay updated with the latest trends and technologies in fullstack development and UI/UX design, applying them to enhance existing applications.
• Drive Innovation: Stay updated with the latest trends and technologies in fullstack development and UI/UX design, proposing and implementing innovative solutions to enhance functionality and user experience.
  Compliance and Accessibility: Ensure that the application adheres to accessibility standards and implement security best practices to protect sensitive client data.

Skills and attributes for success

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineer, Web Development or a closely related technical field.
• Experience: 4-6 years of experience in fullstack development, with a strong focus on UI/UX integration and application performance.
• Technical Skills: Advanced proficiency in frontend frameworks such as React or Angular, and strong knowledge of JavaScript/TypeScript. Familiarity with backend technologies (e.g., Python, .NET) is a
• plus. Strong expertise in HTML5, CSS3, and modern CSS frameworks (e.g., Tailwind CSS, Bootstrap). Deep understanding of RESTful APIs and integrating front-end applications with backend services
• Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex technical challenges.
• Communication: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences..

As an AI and ML Engineer within the AI Centre of Excellence (COE) at the Office of the CTO, in this role, you will support the development and integration of AI services, focusing on backend scalability and feature development. This hands-on technical role is ideal for collaborative engineers eager to learn, innovate, and help deliver scalable AI/ML solutions to real business challenges.

Your key responsibilities

• AI/ML Service Pipeline Design: Assist in designing and implementing robust AI and ML service pipelines, ensuring reliable and efficient back-end performance.
• API Development: Develop and maintain REST and WebSocket APIs for AI/ML applications using Python frameworks (such as FastAPI, Django, or Flask).
• Database Integration: Integrate databases to store, retrieve, and manage AI/ML data efficiently; support feature engineering by enabling access to structured and unstructured datasets.
• Cloud Deployment: Utilize cloud functions (e.g., Azure Functions) to deploy, scale, and monitor AI/ML services.
• ML Model Integration: Support the integration of machine learning models into production environments, ensuring seamless interaction between APIs, databases, and deployed models.
• Backend Feature Development: Contribute to backend feature development, enhancing system scalability, modularity, and reliability using industry best practices.
• Team Collaboration: Participate in code reviews, knowledge sharing, and agile ceremonies to foster a high-performance, collaborative engineering culture.
• Documentation: Help document code, APIs, and technical processes to support team learning and maintainability.
• Continuous Learning: Stay up to date with new technologies, frameworks, and best practices in AI/ML engineering and software development.
• Security & Compliance: Follow organizational security, privacy, and compliance standards in all deployed solutions.

Skills and attributes for success

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a closely related technical field.
• Experience: 1–3 years of relevant hands-on engineering experience in AI/ML systems, web service development, or related software engineering roles.
• Programming: Proficiency in Python; experience with frameworks such as FastAPI, Django, or Flask is a strong asset.
• API Development: Solid understanding of RESTful API design, testing, and versioning; experience implementing WebSocket APIs for real-time applications.
• Database Integration: Experience with relational and/or NoSQL databases for data storage, retrieval, and processing (e.g., PostgreSQL, MySQL, MongoDB, etc.).
• Cloud & Serverless: Practical knowledge of cloud-native/serverless deployment using Azure Functions (preferred) or similar tools on AWS or Google Cloud.
• ML Model Integration: Familiarity with integrating ML models into production environments; hands-on exposure to libraries such as scikit-learn, PyTorch, or TensorFlow is an asset.
• Scalability & Feature Development: Awareness of backend scalability challenges and experience supporting feature development in a distributed environment.
• Collaboration: Excellent interpersonal skills; ability to work effectively in diverse teams and communicate technical concepts clearly.
• Documentation: Commitment to writing maintainable, well-documented code and technical documentation for team use.
• Continuous Learning: Enthusiasm for picking up new technical skills and contributing to a knowledge-sharing team culture.

Your key responsibilities

• AI Service Orchestration: Design, build, and manage orchestration workflows for AI and ML services, ensuring smooth integration and automation of end-to-end processes.
• API Development: Develop, document, and maintain APIs for AI/ML services using Python frameworks such as FastAPI, Django, or Flask.
• ML Model Integration: Integrate machine learning models into scalable, production-grade environments; ensure seamless interaction between APIs and underlying ML models.
• Cloud Functions & Deployment: Leverage Azure Functions and other serverless/cloud-native tools to deploy and manage ML services efficiently.
• System Scalability: Architect solutions with scalability and reliability in mind, employing best practices in software engineering and cloud deployment.
• Collaboration: Work cross-functionally with data scientists, engineers, product managers, and business stakeholders to translate requirements into robust technical solutions.
• Continuous Improvement: Participate in code reviews, contribute to team knowledge-sharing, and help maintain an agile, high-performance engineering culture.
• Documentation: Produce clear, comprehensive technical documentation for code, APIs, and deployment processes.
• Security & Compliance: Adhere to organizational security best practices and ensure all solutions meet internal compliance, accessibility, and privacy standards.

Skills and attributes for success

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a closely related technical field.
• Experience: 4-6 years of relevant, hands-on engineering experience in AI/ML systems, preferably in enterprise or cloud environments.
• Programming & Frameworks: Proficient in Python; solid experience with FastAPI, Django, or Flask for API development.
• API Design: Strong understanding of RESTful API design, versioning, testing, and security.
• ML Model Integration: Experience deploying and integrating machine learning models into live environments; familiarity with common ML frameworks (scikit-learn, PyTorch, TensorFlow, etc.).
• Cloud & Serverless: Practical experience with Azure Functions; knowledge of cloud architecture and best practices in Azure (or similar platforms like AWS Lambda or Google Cloud Functions).
• Service Orchestration: Exposure to orchestrating AI pipelines and workflow automation (e.g., using Airflow, Azure Data Factory, or similar tools) is an asset.
• Scalability & Performance: Demonstrated ability to design systems for scalability, reliability, and performance in distributed environments.
• Problem-Solving: Ability to tackle complex technical challenges and develop innovative solutions in a fast-paced environment.
• Collaboration: Strong interpersonal and collaborative skills; ability to communicate technical concepts clearly to non-technical audiences.
• Documentation & Best Practices: Commitment to writing maintainable, well-documented, and tested code.
• Communication: Excellent written and verbal communication skills, with the ability to convey technical concepts clearly to diverse audiences
• Continuous Learning: Willingness to stay current with new technologies, frameworks, and best practices in AI/ML engineering.

As a Data Scientist, you will be a valued member of the AI Centre of Excellence (COE) within the Office of the Chief Technology Officer at EY Canada. You will work closely with senior team members to support advanced AI research and development, contributing to the construction and integration of intelligent solutions across transformative projects. This role is ideal for individuals eager to start their careers in AI and machine learning, build robust ML pipelines, and apply cutting-edge research in enterprise-scale applications. You will help deliver impactful AI use cases, including large language model (LLM) applications, and play a part in shaping the future of artificial intelligence at EY.

Your key responsibilities

• Develop & Deploy AI Solutions: Assist in designing, building, and optimizing machine learning pipelines for a range of enterprise and research applications, leveraging Python, PyTorch/TensorFlow, and cloud platforms under guidance from senior staff.
• AI Model Implementation: Support the implementation, fine-tuning, and evaluation of AI models, including large language model (LLM) solutions for use cases in generative AI and natural language processing.
• Model Evaluation & ML Ops: Contribute to the end-to-end model lifecycle, from ideation and training to validation, deployment, and monitoring, while learning ML Ops best practices for operational excellence.
• Collaboration & Stakeholder Engagement: Work closely with data scientists, engineers, and business stakeholders to deliver scalable and ethical solutions as part of a cross-functional team.
• Documentation & Communication: Clearly document technical results, methodologies, and insights; communicate findings to both technical and non-technical audiences.
• Continuous Learning: Proactively stay current with the latest advancements in AI/ML, tools, and frameworks; actively contribute to a culture of innovation and excellence within the AI COE.
• Champion Responsible AI: Support EY’s standards for ethical, equitable, and transparent AI, ensuring compliance with legal and security guidelines.

Skills and attributes for success

• Education: Bachelor’s in Computer Science, Data Science, Statistics, Artificial Intelligence, Machine Learning, or a closely related field.
• Experience: 1–3 years of hands-on experience delivering AI/ML solutions in academic, research, or enterprise settings.
• Technical Proficiency: Proficient in Python programming and familiar with deep learning frameworks such as PyTorch and/or TensorFlow; strong skills in data wrangling, feature engineering, and ML pipeline construction and automation.
• GenAI & LLM: Experience with large language model architectures, generative AI use cases, and model fine-tuning and deployment.
• ML Ops & Cloud: Familiarity with ML lifecycle management, ML Ops concepts, and deployment on Azure ML or equivalent cloud platforms.
• AI Model Deployment: Exposure to deploying models on cloud platforms (e.g., Azure ML or similar).
• Collaboration: Proven ability to work effectively in team-based, cross-functional environments.
• Communication: Strong written and verbal communication skills; ability to articulate technical concepts to diverse audiences and contribute to internal knowledge sharing.
• Problem-Solving: Analytical thinker passionate about finding innovative solutions to technical challenges.

You will be responsible for the design, development, implementation, and support of these innovative solutions, as part of a Tax Technology CoE. You will also be responsible for writing and modifying code, debugging software, and providing support post-implementation.

Your key responsibilities

• Designing, coding, and implementing scalable software solutions.
• Maintaining and upgrading existing systems.
• Test, maintain and recommend software improvements to ensure strong functionality and optimisation.
• Create technical and process documentation for reference and reporting.
• Managing user access and permissions.
• Produce clean, efficient code based on specifications.
• Work with Business Analysts, Product Owners, and other developers to define and deliver business impacting projects.
• Support the launch and implementation of solutions as well as providing post-implementation support in resolving any potential issues.
• Work with experienced team members to conduct root cause analysis of issues.
• Testing and debugging code.
• Troubleshoot and debug software issues.

Skills and attributes for success

• An analytical mind and inclination for problem-solving.
• Highly self-motivated and directed.
• Logical and efficient, with a keen attention to detail.
• Strong verbal and written communication skills.
• Ability to communicate technical details to non-technical audiences.
• Excellent listening, interpersonal and oral communication skills.
• Experience working in a team-oriented, collaborative environment.
• Excellent planning, organisational, project and time management skills.
• Knowledge and interest in computer systems and the latest technologies.
• The ability to learn new technologies quickly.

Ideally you must have

• A Bachelor’s degree in Computer Science, Software Engineering, Software Programming or Information Management.
• Minimum 2-3 years of experience in a software development role.
• Comfortable communicating with other developers, Business Analysts, and Project Managers.
• Basic knowledge and understanding of software development life cycle processes, agile development methodologies, software design and testing.
• Experience working on a variety of software development projects.
• Experience developing workflow-based solutions or functionality.
• Experience developing and consuming APIs.
• Experience with web development technologies preferential.
• Experience as a developer with strong knowledge of software engineering concepts preferred.
• Knowledge of coding languages (e.g. C++, C#, Java, JavaScript, jQuery, Python, VB Script, Ruby, R, HTML5, XML, CSS) and frameworks/systems (e.g. AngularJS, .NET, Git).
• Basic knowledge and understanding of Machine Learning (ML) and Artificial Intelligence (AI).
• General knowledge and experience in working with databases (Relational and non-relational).
• Experience in using Microsoft 365 platform, data storage, analysis, reporting tools and technologies (Azure SQL, Azure Analysis Services, Power BI, Power Automate, Power Pivot, Power Query & Power View, SharePoint etc.) preferential.
• Ability to develop unit testing of code components or complete applications.

What we look for

• A self-starter who can work independently while also communicating progress and challenges with others on the team
• Comfortable escalating complex issues with recommendations to leadership
• Strong organizational skills and ability to multi-task
• Comfortable working with others within EY with unique personalities, cultures and working styles and can adapt your approach to best interact

What we offer

When you thrive, we thrive. The EY benefits package goes above and beyond, focusing on your physical, emotional, financial and social well-being:

• $5,000 per year for mental health support benefits
• Wellbeing benefit of $1,200/year

Discover how, when and where you can work at

Skills and attributes for success

• Design, develop, and deploy custom applications using Power Apps to streamline business processes and improve user experience.
• Create automated workflows and processes using Power Automate to enhance operational efficiency.
• Develop interactive dashboards and reports using Power BI to provide actionable insights and support data-driven decision-making.
• Collaborate with cross-functional teams to gather requirements, analyze business needs, and translate them into technical specifications.
• Conduct testing and debugging of applications to ensure functionality, performance, and security.
• Provide ongoing support and maintenance for existing Power Platform solutions, implementing enhancements as needed.
• Stay up-to-date with the latest Power Platform features, best practices, and industry trends to continuously improve development processes.
• Train and support end-users on Power Platform applications and tools, fostering a culture of self-service analytics and automation.

To qualify for the role, you must have

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Proven experience as a Power Platform Developer or similar role, with a strong portfolio of developed applications and solutions.
• Proficiency in Microsoft Power Platform tools, including Power Apps, Power Automate, Power BI, Power Pages and Copilot Studio
• 3–6 years in senior development or technical consulting roles with hands-on development experience.
• 2+ years of hands-on experience in Power Apps, Power Automate, Copilot Studio (Power Virtual Agent).
• Strong understanding of data integration, APIs, and database concepts.
• Familiarity with Azure services and their integration with Microsoft Power Platform solutions
• Experience with Microsoft Dataverse and SharePoint is required
• Familiarity with Agile development methodologies and project management tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
• Microsoft Power Platform Fundamentals Certification (PL-900)

Ideally, you’ll also have

• Microsoft Power Platform certifications (e.g., PL-100, PL-200) are highly desirable.
• Experience in developing solutions for specific industries (e.g., finance, healthcare) is a plus.
• Experience with deployment pipelines and CI/CD
• Knowledge and expertise on Plugins
• Hands-on experience with other low-code no-code and automation technologies (e.g. UiPath, Blue Prism, Pega, WorkFusion)

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

• Support and coaching from some of the most engaging colleagues in the industry
• Learning opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

The salary range for this job in British Columbia is $110,000to $165,000. Individual salaries within this range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and work location city.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.