Apply now »
Date:  Jul 16, 2025
Location: 

Pickering, ON, CA

Type of Position:  Temporary
Type of Position: 
Number of Positions:  1
Salary Min:  $126,751.00
Salary Max:  $158,439.00
Description: 

Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand? Do you have a passion for big data and cloud computing – and know the benefit of using data to improve business practices?

 

Become an IT Principal Engineer (AI Focus) - Temporary Assignment up to 18 Months with MPAC

 

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.  

 

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

 

Our Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the property assessment industry. The way we think about technology is different, and our teams are proud to share their knowledge and contribute to meaningful, technology-enabled success stories that enhance operational intelligence and customer service delivery. We tackle complex problems collaboratively in an agile environment, and are committed to ensuring MPAC technology is consistently available, scalable, performance-based and secure. We’re a group of forward-thinking and talented professionals who stay ahead of the game by using open source technology, cutting-edge cloud computing, advanced analytics and predictive and machine learning models.

 

 

Job Description

What makes you great for this role?
You combine deep technical expertise and leadership to drive AI integration across MPAC projects. You stay current with industry best practices, strengthen operations through intelligent solutions, and build strong stakeholder relationships to deliver impactful, AI-powered services

 

We have: 
• A team of highly skilled, dedicated and collaborative staff
• Leadership that supports you
• An enterprise that embraces change
• A work environment that has flexible work locations (including remote), hours of work and overall employee wellness support


You have: 
• Completion of post-secondary education in Information Technology, Computer Science, Engineering or a related field is required
• Minimum 7+ years of progressively responsible experience in IT operations required with proficiency in AI/ML Frameworks; experience leading projects/teams and/or acting as a consultant/advisor
• Deploying production models on AWS SageMaker / Bedrock, Microsoft Azure ML etc, or comparable cloud-native ML platforms, including GPU/accelerated training, autoscaling inference, and cost-aware workload scheduling
• Certification as a Scrum Master
• Advanced expertise in AWS Cloud
• Understanding and experience with software related industry trends
• Understanding of industry security practices and compliancy including ISO 27002 and ISO 27017
• Strong management and team building skills to provide leadership, motivation, and direction to staff

 

What you will do: 
• Serve as the organization’s principal technical authority for artificial intelligence, machine learning, and automation across modern cloud platforms (currently AWS, with the flexibility to extend or migrate to Azure etc as the business needs evolve)
• Convert corporate and departmental KPIs into an actionable AI/automation roadmap, ensuring every initiative measurably improves accuracy, speed, cost-efficiency, and customer experience
• Design, develop, and maintain cloud-native AI and automation workflows—whether serverless micro-services, containerized applications, or full-scale ML pipelines, capable of running on AWS, Azure etc
• Create secure, reusable connectors and APIs that integrate first-party systems with third-party SaaS platforms
• Orchestrate real-time and batch data pipelines with cloud services (e.g., AWS Glue/Kinesis, Azure Data Factory/Event Hub etc), feeding features to ML models and analytics dashboards
• Establish and continually refine DevOps/MLOps frameworks, Infrastructure as Code, CI/CD, automated testing, observability, FinOps, implementing cloud-agnostic guardrails for security, resilience, and compliance
• Help adopt and track service-level and operating-level agreements (SLAs/OLAs)
• Evaluate solution architectures against enterprise risk domains, data privacy, model bias, regulatory compliance, and cost of change, offering clear mitigation strategies for leaders and audit partners
• Identify budgeting and forecasting for cloud spend, licensing, surface variances early and recommend optimizations such as rightsizing, commitment purchases, or multi-cloud arbitrage 
• Act as a trusted advisor to Directors, the CITO, and product stakeholders, bridging the gap between emerging technology and measurable business outcomes
• Partner with Product Owners, Business Analysts, Data Scientists, and Cloud Engineers to translate requirements into production-ready AI services that emphasize usability, explainability, and sustainability
• Contribute to technical due-diligence for new tools, vendors, and partnerships that extend the organization’s AI/automation capabilities in any cloud
• Stay current with the rapidly evolving AI/ML and cloud landscapes

Additional Information:

  • Requisition ID:  2627 
  • Job Type: Non-Union Staff 
  • Closing Date: July 29, 2025

 

Ready to apply?

 

Please note, only applications submitted through the Applicant Tracking System will be accepted.

 

Successful candidates will be required to undergo a background verification with Mintz Global Screening. By applying to this job posting, you are providing your consent to MPAC to share your name, email address and phone number with Mintz, to conduct the criminal and driver abstract check and for Mintz to disclose the results to MPAC, should you be the successful incumbent.

 

MPAC is committed to fostering an inclusive, accessible environment where all employees and members of the public feel valued, respected and supported. We are dedicated to building a workforce that reflect the diversity of the public and communities we serve.

 

Persons with disability who need accommodation in the application process or those needing job postings in an alternative format may email their request to careers@mpac.ca.

 

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

 

Please note that MPAC prohibits employees from holding a current/valid real estate license and successful applicants must at least suspend their real estate licenses during their period of employment at MPAC as outlined in our Employee Code of Conduct.

 

Job advertisements for positions that have been designated bilingual will be posted in both English and French on our website. Positions that are not designated bilingual are not translated and are only posted in English on the English version of our website.

 

Stay connected:

   MPAC on LinkedIn

   MPAC on Twitter

   MPAC on Youtube

   MPAC on Facebook

 

Snow

 

Apply now »