About the Role
Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement.
Responsibilities
- 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
- 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
Requirements
- 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
Location
- Canada - Toronto Office TRO
Work Type
- Full-time
Experience Level
- 5+ years of experience
Education Level
- Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field
Salary/Compensations
- 139,000 - 209,000 CAD / Annual
Benefits
- Competitive, inclusive, sustainable, connected and efficient benefits
- Employee Assistance Program
- Healthcare coverage designed to complement the provincial healthcare system
- Life insurance
- Disability insurance
- Optional benefit plans for employees and eligible family members
- Defined Contribution Pension Plan (DCPP)
- Group Retirement Savings Plan (RRSP)
- Tax-Free Savings Plan (TSFA)
- Vacation time
- Personal time
- Paid holidays
About the Company
- Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable innovations that enrich work, life and planet.
- A place where tech thinkers and future builders turn bold ideas into breakthrough experiences.
- Welcomes unique perspectives to challenge assumptions, uncover bias, and remove barriers.
- Fosters belonging, purpose, and a team that values employees.
Equal Opportunity
- Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.
- Qualified candidates needing assistance or accommodation should complete the provided form.
- Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer.
- All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
- Uses artificial intelligence in the hiring process.
- Participates in E-Verify.
