Job SummaryIndependently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.
ResponsibilitiesEngineering Expectations (Core Capabilities)
- Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data
- Translate business requirements into scalable system architectures and solution designs
- Develop backend services and API-driven architectures to operationalize intelligent systems
- Implement data and model pipelines integrating structured and unstructured data sources
- Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows
- Apply agent-based workflows and multi-step orchestration to enable complex system behavior
- Ensure systems are production-ready-scalable, reliable, secure, and performant
- Continuously improve system performance through testing, monitoring, and iterative refinement
Operating Model & Ways of Working
- Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes
- Translate ambiguous problems into structured requirements and actionable system designs
- Engage stakeholders regularly to refine solutions and drive adoption
- Collaborate across teams to ensure integration with existing systems and enterprise standards
- Maintain high-quality documentation and enable knowledge transfer and continuity
- Take ownership of delivery by managing enhancements, releases, and system evolution
- Stay current with industry trends and contribute to continuous improvement of team capabilities
Qualifications- 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field
The targeted pay range for this position in the following location is / locations are:
Canada - Toronto Office TRO : 99,000 - 149,000 CAD / Annual
Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.
The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.
The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.
Equinix BenefitsAs an employee, you become important to Equinix's success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we're providing you with the best package possible. So, wherever you are in your career and life, you'll be able to enhance your experience and bring your whole self to work.
Employee Assistance Program: An Employee Assistance program is available to all employees.
Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). - Vacation and Paid Holidays: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.
This posting is a new position within our organization.
