Role Description This job advertisement is to fill an existing vacancy in the CUPE4207-1 (Employee Group). Title of Course: Public Sector Unions Compensation: - Effective September 1, 2026 - $7,887.59 per half course (195 hours nominally) - Effective September 1, 2026 - $15,775.20 per full course (390 hours nominally) Please note: Instructors who are employed in a 2-hour/week lecture, or the equivalent of a 2-hour/week lecture, are responsible for the first hour of seminar/lab in each course. Duties and responsibilities will be in accordance with Article 22.01 of the Collective Agreement. These include: - Scheduled contact time with students - Non-classroom time (preparation of lectures, student consultation, marking and grading, course administration including grade appeals and cases of academic dishonesty) Qualifications - Ph.D or Doctoral candidate with significant university training in the field of labour studies (e.g. course work, thesis focus) - Demonstrated success in university teaching in labour studies (e.g. course evaluations, letters of reference and/or other components of a teaching dossier) - Demonstrated research in labour studies (e.g. publications, conference presentations, community-based projects) - Specialization or prior teaching experience in area advertised Note: This course will be held online and ASY. Requirements - Please include a cover letter and a current resume. - Members with seniority can provide seniority date in the application questionnaire. - All required documentation must be included, including letters of reference and course/performance evaluations. Positions listed on this posting are subject to course enrolments and budgetary approval. As per Article 22.04 of the Collective Agreement: - Members shall not accept any appointment which, taken together with all other appointments at the University, would cause the member to exceed the maximum number of regular hours (i.e., not overtime hours) allowable in a work week under the Employment Standards Act, as amended from time to time. - Applicants that are in excess of the above noted workload limits will not have their applications considered unless they have received prior written approval from the appropriate Dean and the Human Resources Department. The Collective Agreement governs part-time Instructor, Teaching Assistant, Lab Demonstrator, Course Coordinator and Marker-Grader positions at Brock University. The Agreement can be accessed on the Human Resources Web Site - Collective Agreements . Additional Comments Course descriptions can be found on the Undergraduate course calendar website: Undergraduate Course Calendar . Academic terms generally run from: - Fall – September to December - Winter – January to April - Spring – May to July - Summer – July to August *Actual dates can be found on the Timetables available on the Office of the Registrar web page: Timetables . We are committed to offering flexible work arrangements where possible as outlined in our Flexible Work Arrangement Policy. As a student-centered organization, all employees are required to work on campus as needed. Brock University is committed to creating a respectful and equitable workplace. We strive to foster a culture of diversity and inclusion in our work and learning environments. We welcome applications from all qualified individuals and actively encourage applications from: - women - people with disabilities - members of the 2SLGBTQIA+ community - Indigenous Peoples - people who identify as Black, African and/or Caribbean - racialized and/or ethnic and cultural minority groups - other underrepresented demographic groups at Brock and in the Niagara region Brock also recognizes intersectionality and the interconnected identities, histories, and experiences of these aforementioned groups. We are committed to inclusive and barrier-free recruitment, and we accommodate the needs of applicants throughout all stages of the recruitment process, as outlined in our Employment Accommodation Policy and consistent with the requirements of the Ontario Human Rights Code. Please contact talent@brocku.ca if you require a disability-related accommodation so we can ensure your participation needs are met. Brock University does not use AI Technology at any stage of the recruitment process. We appreciate all applications received. Candidates that are selected for an interview will be contacted. Learn more about Brock University by visiting www.brocku.ca .

• Build 0-1 AI systems that transform core brokering workflows – from intelligent submission processing that auto-extracts data from 100+ page documents and routes complex commercial policies between AI agents and expert brokers, to autonomous AI that enables brokers to manage 1000+ client renewals simultaneously, owning the full stack from prototype to production. • Embed directly with brokering teams, underwriters, and operations to identify automation opportunities, building solutions side-by-side with the people who use them daily. You'll be acting as an internal FDE, where you're both engineer and business strategist. • Ship production-ready AI features that deliver measurable impact – reducing quote turnaround time by 80%, increasing broker capacity by 10x, and improving placement success rates through intelligent market matching and risk assessment. • Establish rigorous evaluation frameworks for AI in regulated insurance contexts, implementing comprehensive testing pipelines, hallucination detection, and accuracy monitoring to ensure our AI systems meet both compliance requirements and performance targets. • Drive rapid experimentation cycles using modern AI development practices, moving from concept to deployed solution in weeks while maintaining quality through automated testing and progressive rollout strategies. • Develop the next generation of AI talent by mentoring engineers on production AI systems, sharing learnings from real-world deployments, and establishing best practices for building reliable AI in financial services. • Pioneer the application of cutting-edge AI research to insurance challenges, from multi-agent systems for complex underwriting to advanced RAG architectures for policy knowledge management. • Own the complete product development lifecycle for AI initiatives, from initial problem discovery and technical design through frontend interfaces that make AI capabilities intuitive for non-technical users.

Role Description We are looking for an AI Engineer to build intelligent solutions on the Microsoft Power Platform by integrating large language models (LLMs), including Azure OpenAI and Anthropic Claude. This role focuses on enabling business scenarios through scalable, secure, and compliant applications aligned with enterprise standards. You will collaborate across engineering, product, and security teams to deliver high-quality solutions that drive productivity and business impact. What you'll do - Design and implement solutions on the Power Platform integrated with Azure AI services - Integrate LLM capabilities into applications using APIs, connectors, and secure service architectures - Build AI-powered workflows and copilots using Power Automate and Copilot Studio - Apply AI patterns such as summarization, classification, and retrieval-augmented generation (RAG) - Develop and refine prompt strategies with appropriate governance and safety controls - Ensure compliance with enterprise requirements for security, privacy, and scalability - Follow ALM best practices, including CI/CD and environment management - Partner with cross-functional stakeholders to deliver measurable outcomes - Contribute reusable assets, patterns, and documentation Qualifications - 2–3 years of experience in AI, software engineering, or Power Platform development - Experience with Power Apps, Power Automate, Dataverse, and Copilot Studio - Experience integrating LLMs via APIs (e.g., Azure OpenAI, Claude) - Knowledge of prompt engineering and AI design patterns (embeddings, RAG) - Proficiency in REST APIs, OAuth2, and Microsoft Graph - Understanding of Azure identity and security (Entra ID, RBAC, Key Vault, DLP) - Programming experience in C#, Python, or JavaScript/TypeScript - Experience with CI/CD, monitoring, and performance optimization Requirements - Experience in enterprise or regulated environments - Familiarity with Microsoft 365 services - Knowledge of Power Platform governance practices - Understanding of Responsible AI principles - Relevant Microsoft or AI certifications - Strong collaboration and communication skills Education - Bachelor's degree preferred/specialized training/relevant professional qualification Benefits - Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families - Medical, dental, and vision coverage - Paid time off - Retirement savings options - Wellness programs and other resources, based on eligibility Pay Range The typical pay range for this role is: $79,310.00 - $158,620.00. This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

• As a Team Lead, Engineering at Deel, you will lead a cross-functional team of 6-10 professionals, with a balance of leadership and hands-on technical work with AI. • You will drive technical excellence, mentor your team, and deliver scalable, innovative solutions in a fast-paced, startup-like environment. • Serve as a technical leader, combining hands-on development with strategic oversight. • Design, code, and deliver high-quality, scalable applications using modern tech stacks (Node.js, Python, or similar). • Provide mentorship and technical guidance, fostering growth and skill development within the team. • Ensure best practices in development, testing, and deployment, driving innovation and excellence. • Conduct thorough code reviews to maintain high coding standards and technical quality. • Collaborate closely with product and design teams to create extraordinary user experiences. • Drive technical planning and execution, balancing short-term objectives with long-term system health. • Promote Agile methodologies to enhance team productivity and effectiveness. • Facilitate knowledge sharing, cross-team collaboration, and continuous improvement. • Define and implement technical strategies in alignment with organizational goals. • Lead innovation through rapid prototyping, iterative development, and problem-solving. • Identify technical risks and implement mitigation strategies to ensure successful delivery. • Represent your teams in cross-functional discussions, aligning technical requirements with business objectives. • Play an active role in hiring and scaling the teams, ensuring alignment with company values. • Manage performance cycles, provide structured feedback, and support the professional growth of team members. • Cultivate a culture of collaboration, inclusion, continuous learning, and engineering excellence. • Champion diversity and foster an environment where all team members thrive.