AI Controls Solutions Engineer (HVAC Systems)

Accountabilities

• • 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.
  • 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.