This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Controls Solutions Engineer (HVAC Systems) based in Canada.

This is a fully remote opportunity for an experienced controls engineer to help bring AI-powered automation into large-scale industrial and data center environments.
You’ll combine deep HVAC and controls expertise with modern AI technologies to configure, deploy, and optimize intelligent control solutions.
The role sits at the intersection of engineering, data science, product development, and customer operations.
You’ll work directly with technical teams and enterprise customers to translate complex facility requirements into scalable, production-ready solutions.
Your work will include commissioning systems, troubleshooting live deployments, improving performance, and helping evolve the underlying product.
You’ll also contribute as a technical subject-matter expert, supporting customer success, product initiatives, and selected commercial activities.
With approximately 25% travel, this role offers significant ownership and the opportunity to shape how AI is applied to real-world HVAC and industrial control systems.

• Deploy and configure AI-enabled control solutions: Use platform tools and your HVAC expertise to model customer facilities, configure systems according to operational requirements, and collaborate with Data Science teams to prepare solutions for production.
• Commission and optimize systems: Tune deployed solutions, analyze performance, and troubleshoot control systems and equipment to ensure reliable operation and strong customer outcomes.
• Lead customer deployments: Manage multiple solutions in parallel, coordinating onboarding, deployment, support tickets, and issue resolution with customers and internal stakeholders.
• Provide technical support: Monitor deployed systems, investigate performance issues, identify root causes, assess operational risks, and implement practical solutions across control systems and equipment.
• Translate customer needs into product requirements: Work with Product teams and other Solutions Engineers to convert customer requirements and implied needs into clear documentation that can guide software development and scalable product improvements.
• Partner cross-functionally: Collaborate closely with Technical Program Managers, Data Scientists, Product, Software Engineering, and customer operations teams to deliver and continuously improve solutions.
• Act as a technical subject-matter expert: Provide technical guidance to customers and internal teams, contribute to advanced support initiatives, advise research projects, and support sales and marketing activities when appropriate.
• Develop scalable processes: Identify recurring challenges and create repeatable solutions, workflows, and documentation that improve deployment efficiency and enable the organization to scale.
• Use AI to improve engineering workflows: Independently apply AI tools to automate repetitive work, accelerate troubleshooting and onboarding, and improve day-to-day productivity.
• Contribute to continuous improvement: Participate in code repositories, refine business processes, support technical initiatives, and help establish high standards for documentation, communication, and operational excellence.
• Support field activities: Participate in customer site visits and travel as needed, with the role expected to involve approximately 25% travel.

Requirements

• Controls engineering experience: 5–10 years of professional experience as a controls engineer, controls programmer, or in an equivalent technical role.
• HVAC and data center expertise: Strong knowledge of HVAC and data center cooling control strategies, including chiller plant fundamentals, configurations, sequences of operation, air-side chilled water systems, and direct expansion cooling.
• Thermodynamics knowledge: Practical understanding of thermodynamics as it applies to cooling, refrigeration, and hydronic systems.
• Industrial controls expertise: Experience designing or working extensively with commercial and industrial control systems and protocols such as BACnet and Modbus.
• Controls programming: Experience programming control systems using PLCs, ladder logic, text-based, or block programming languages.
• Field operations experience: Strong ability to work with data center operations teams and solve complex field-level operational problems.
• AI and Python capabilities: Ability to read and write Python scripts in collaboration with software engineering teams, as well as an interest in applying AI and machine learning to controls applications.
• Technical education: Degree or strong educational background in a relevant discipline such as Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics, or another engineering/applied science field.
• Customer communication: Excellent verbal and written communication skills, with the ability to explain specialized controls concepts to non-experts and AI/ML concepts to customers without an AI/ML background.
• Problem-solving mindset: Strong analytical and troubleshooting abilities, with a passion for finding scalable solutions to recurring technical challenges.
• Documentation and organization: Ability to own substantial areas of technical documentation and maintain high standards for clarity, accuracy, and communication.
• Customer orientation: Demonstrated ability to understand customer needs, prioritize effectively, and balance pragmatic urgency with customer satisfaction.
• Collaboration: Comfortable supporting peers, participating in pairing sessions, and working closely with multidisciplinary teams.
• AI-first approach: Experience using AI tools to improve workflows, automate repetitive tasks, and support troubleshooting and onboarding.
• Preferred experience: Exposure to rapidly prototyping technologies, owning codebases or services, cloud architecture, AI/ML in controls, statistics or analytics, optimization problems, and markup/data formats such as XML, JSON, or YAML.
• Work authorization: Candidates must be legally authorized to work in Canada; employment sponsorship is not provided.

Benefits

• Remote-first work: 100% remote position with a documentation-first and asynchronous working culture.
• Competitive compensation: Canada base salary ranging from CA$79,834 to CA$149,690, depending on location tier, qualifications, skills, experience, and other relevant factors.
• Equity: Eligibility for meaningful equity in addition to base salary.
• Health coverage: Medical, dental, and vision insurance, with exact benefits varying by region.
• Paid time off: Unlimited PTO with a required minimum of 20 days per year.
• Parental leave: Paid parental leave, subject to regional eligibility.
• Flexible stipends: Support for workspace needs, well-being, and ongoing professional development.
• Professional development: Functional, customer-immersion, and technical training designed to accelerate growth and expand your skill set.
• Equipment: Company-provided MacBook.
• High-impact environment: Opportunity to take on significant responsibility and directly influence the development and direction of AI-powered industrial automation.
• Collaborative culture: Work closely with engineering, product, data science, and customer-facing teams in an environment focused on ownership, speed, craftsmanship, transparency, and continuous learning.
• Travel opportunities: Approximately 25% travel, including customer site visits and field activities.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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