Applied AI Developer

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Delta Intelligent Building Technologies (Canada) Inc. is a leading building controls manufacturer. For over three decades, we have provided innovative building automation solutions for commercial, healthcare, education, and leisure facilities.

The Applied AI Developer is responsible for the design, development, deployment, and ongoing improvement of internal AI-powered tools and agents used across the organization. This role focuses on applying artificial intelligence in practical, secure, and scalable ways to support product development, manufacturing, technical support, customer service, IT, and other business functions.

In addition to hands-on development, the Applied AI Developer plays a key role in identifying opportunities for AI adoption, ensuring responsible and governed use of AI technologies, maintaining visibility into the costs and scalability of AI solutions, and enabling teams to use AI tools effectively through training and documentation.

• Design, develop, and maintain internal AI agents and applications that enhance productivity, decision-making, and operational efficiency across multiple business units.
• Integrate AI solutions with existing internal systems, data sources, and workflows.
• Prototype, test, deploy, and iteratively improve AI tools based on user feedback and evolving requirements.
• Ensure AI solutions are reliable, maintainable, and scalable for organization-wide use.

• Work with stakeholders across the organization to identify and assess areas where AI can be effectively applied.
• Translate business needs and operational challenges into practical AI-driven solutions.
• Prioritize initiatives based on value, feasibility, risk, and long-term sustainability.

• Implement appropriate AI guardrails, including data access controls, usage policies, and prompt or model constraints.
• Ensure AI solutions align with internal security, privacy, and compliance requirements.
• Collaborate closely with internal IT and Cybersecurity teams to design, review, and deploy AI solutions that meet infrastructure, security, and risk management standards.
• Incorporate cybersecurity best practices into AI system architecture, data handling, access controls, and lifecycle management.
• Monitor deployed AI tools for accuracy, reliability, bias, and unintended behavior.
• Support the development and adoption of internal standards and best practices for responsible AI use.

• Research emerging AI technologies, models, frameworks, and tools relevant to internal business use.
• Evaluate and recommend AI platforms, services, and vendors based on capability, security, cost, and maintainability.
• Balance innovation with operational stability and long-term support considerations.

• Track and analyze costs associated with AI tools and platforms, including usage-based services, infrastructure, and third-party solutions.
• Derive AI focused metrics and KPIs
• Monitor AI usage patterns and metrics to identify trends that may impact cost or scalability.
• Forecast AI-related costs to support budgeting, planning, and growth initiatives.
• Design AI solutions with cost efficiency in mind, balancing performance, capability, and operational expense.
• Collaborate with IT, finance, and leadership teams to provide transparency into AI-related costs and scaling implications.

• Develop and maintain clear, accurate documentation for internal AI tools, including usage guidelines, limitations, and best practices.
• Create training materials and deliver training sessions to support effective adoption of AI tools across teams.
• Provide ongoing guidance and support to users as tools evolve or new capabilities are…