AI PRACTITIONER at ONT.COLLEGE OF TEACHERS

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

102253.0

Posted On

03 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure AI, Python, SQL, Power Platform, Machine Learning, Natural Language Processing, Prompt Engineering, AI Governance, Enterprise Architecture, Copilot Studio, Agentic AI, Cloud Infrastructure, Data Transformation, Stakeholder Engagement, Change Management, Responsible AI

Industry

Public Safety

Description

Posting 26-36 AI Practitioner Enterprise Strategy & Data Management Unit, Digital Technology & Services Department PERMANENT POSITION, CATEGORY 6, HIRING RANGE $88,806 - $102,253 New Vacancy – One position The Artificial Intelligence (AI) Practitioner will be responsible for designing, developing, implementing and optimizing AI-driven solutions that improve efficiency and productivity by reducing manual effort. This role requires demonstrated expertise and a strong track record in leading design, development, and implementation of AI solutions, with a clear emphasis on alignment with enterprise strategy and governance frameworks Responsibilities: AI Solution Development and Delivery: * Deliver AI solutions leveraging Microsoft Azure AI services, Power Platform AI Builder, and Copilot integrations into production systems * Implement Machine Learning (ML) and natural language processing (NLP) solutions for tasks such as classification, summarization, and predictive analytics * Drive end-to-end model lifecycle execution, from deployment to continuous optimization, balancing enterprise-grade delivery with agile experimentation * Establish robust monitoring and operational practices, including performance tracking, drift detection, capacity planning, version control, and production support * Evaluate and optimize AI tools and platforms to drive continuous improvement, enhance efficiency, and reduce manual effort * Create documentation and conduct training sessions with stakeholders to increase AI adoption * Advance enterprise AI maturity by identifying and prioritizing high-value AI use cases aligned with business objectives, focusing on measurable impact and ROI * Develop and maintain an AI roadmap that integrates emerging technologies (e.g., Gen AI, agentic AI) into business processes and services AI Governance: * Create and operationalize governance frameworks covering privacy and security impact assessments, AI risk and compliance, and data governance standards (classification, retention, auditability) * Lead end-to-end model lifecycle oversight, ensuring robust controls for model validation, monitoring, and regulatory alignment * Monitor compliance of AI solutions with organizational AI ethics standards, regulatory requirements, and responsible AI principles Enterprise Architecture: * Create and maintain enterprise architecture frameworks and reference models * Collaborate with solution architects to ensure all solutions and enhancements align with existing technical architecture and business value streams * Establish and operationalize governance frameworks for technology solution reviews, lifecycle oversight, and exception management * Provide inputs to project teams on technology selection and integration * Design and implement controls and monitoring processes to minimize security vulnerabilities and operational risks Qualifications, Skills & Experience: * University degree in information systems, information management, computer science or a related field, or an equivalent combination of education and experience * 3-5 years of progressive experience designing and deploying AI solutions in enterprise environments, including large language models, prompt engineering and autonomous AI workflows * Proficiency with Azure AI, Python, SQL and Power Platform, with experience in data transformation and machine learning model development * Experience with AI governance, responsible AI principles, data privacy, security and policy frameworks in enterprise settings * Communication, stakeholder engagement and problem-solving skills, with the ability to translate business needs into practical AI solutions * Experience with ML frameworks, Copilot Studio, agentic AI, cloud infrastructure and change management is an asset * Strong proficiency in Cloud infrastructure * Understanding of responsible AI principles, including bias mitigation, data privacy, and model transparency * Experience developing and operationalizing data governance, security, and AI policy frameworks in enterprise environments * Experience in change management and applying responsible AI principles to support ethical, compliant, and risk-informed decision-making To apply, please submit your cover letter and resume through our application portal [https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=108450a1-fa83-41bf-a7d1-030ba77254bd&ccId=19000101_000001&type=MP⟨=en_CA]no later than 16 June 2026. We use Artificial Intelligence (AI) screening to sort applications. Trained staff review applications before decisions are made. The Ontario College of Teachers offers competitive salaries, pension, comprehensive benefits and a modern, progressive work environment. This position operates with a mix of remote and in-office workdays. Ontario College of Teachers is an equal opportunity employer committed to inclusive, barrier-free recruitment and selection processes and work environment. We will accommodate the needs of applicants under the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA) throughout all stages of the recruitment and selection process. Please advise the Human Resources Department to ensure your accessibility needs are accommodated throughout this process. Information received relating to accommodation measures will be addressed confidentially.

Responsibilities

The AI Practitioner is responsible for designing, developing, and optimizing AI-driven solutions to improve enterprise efficiency and productivity. This includes implementing ML/NLP models and establishing governance frameworks for privacy, security, and ethical AI standards.