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Applied AI Developer
Applied AI DeveloperDelta Controls • Surrey, British Columbia, Canada
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Applied AI Developer

Applied AI Developer

Delta Controls • Surrey, British Columbia, Canada
22 days ago
Job type
  • Full-time
  • Permanent
Job description

About Delta Intelligent Building Technologies (Canada) Inc. (formerly known as Delta Controls)

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.

Job Summary

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.

Responsibilities

AI Tool and Agent Development

  • 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.

Business Enablement and Opportunity Identification

  • 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.
  • AI Governance Guardrails and Responsible Use

  • 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 and Technology Evaluation

  • 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.
  • Cost Management and Forecasting

  • 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.
  • Training Documentation and Enablement

  • 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 introduced.
  • Ensure teams understand appropriate use guardrails and expectations when working with AI-enabled solutions.
  • Advocacy and Organizational Support

  • Act as an internal advocate for effective and responsible AI adoption.
  • Promote awareness of AI capabilities limitations and responsible use across the organization.
  • Support change management efforts by helping teams integrate AI tools into existing workflows.
  • Required Qualifications

  • Proven experience in software development or applied technology roles.
  • Hands-on experience developing AI-powered applications or tools.
  • Strong understanding of modern AI systems including model integration and data-driven workflows.
  • Experience working with internal platforms APIs and enterprise systems.
  • Understanding of security data privacy and responsible technology practices.
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences.
  • Preferred Qualifications

  • Experience developing internal tools used by multiple teams or departments.
  • Familiarity with large language models agent-based systems or automation frameworks.
  • Experience creating technical documentation or delivering training for internal users.
  • Experience evaluating and managing usage-based or cloud-hosted technology costs.
  • Background in manufacturing product development or technical support environments.
  • Experience collaborating with IT security or operations teams.
  • What Success Looks Like

  • Internal teams confidently and consistently use AI tools that improve efficiency and outcomes.
  • AI solutions are secure well-governed and aligned with organizational policies.
  • AI-related costs are transparent predictable and well-managed as adoption grows.
  • Users understand how and when to use AI tools appropriately supported by clear documentation and training.
  • The organization develops a practical shared understanding of where AI adds value and how to use it responsibly.
  • Work Location : Hybrid (In-office 3 days per week subject to change)

    City : Surrey

    Type : Full-time Permanent

    Salary : $80000 - $110000

    This range reflects the minimum and maximum target payable for the base salary of new hires across all Canadian locations. Actual compensation may vary outside this range and is dependent on various factors.

    Why work for us

    We provide fantastic opportunities to individuals passionate about business and technology. Delta Electronics products are the most energy efficient power products in the industry and our company is perfect for those who want to create design and build sustainable solutions using massively scalable big-data architecture with a strong focus on building automation. Here are some of the Delta perks youll receive from day 1!

  • Employee & safety centric culture with the possibility of remote work
  • Flexible hours and scheduling available
  • Competitive total compensation along with generous vacation allowances
  • Vacation leaves
  • Wellness - onsite fitness center & company reimbursement for personal gym memberships
  • Internal Recognition
  • Employee Referral bonuses
  • Transit accessible with free onsite parking
  • Regular company events such as Food Truck Fridays Lunch & Learn and other planned activities
  • Required Experience :

    IC

    Key Skills

    CCTV,Computer Science,Corporate Marketing,E Learning,Arabic English Translation

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

    Monthly Salary Salary : 80000 - 110000

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    Applied AI Developer • Surrey, British Columbia, Canada

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