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Added 9 mins ago
AS
Machine Learning Engineer
AgileGrid Solutions
Canada
- Full-time
…computer vision, multimodal AI, or related fields. Proficiency with modern machine learning frameworks such as PyTorch or TensorFlow is essential. Candidates should have a passion for…
Added 24 mins ago
S
Member of Technical Staff (Fullstack) (Toronto)
Solstice
Toronto, ON
- Full-time
Rapid growth: Over the past year, we have been working with some of the top life sciences manufacturers and are working with over 50+ pharma brands.
Added 24 mins ago
S
Member of Technical Staff - Fullstack AI Engineer (Toronto)
Solstice
Toronto, ON
- Full-time
…APIs, agent orchestration, and customer-facing interfaces, with a strong focus on Python and platform…
Added 24 mins ago
S
Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
Rapid growth: Over the past year, we have worked with some of the top life sciences manufacturers and over 50+ pharma brands including Pfizer and AstraZeneca.
Added 38 mins ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…learning solutions. Strong programming skills are essential, with proficiency in languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R. Experience working with relational…
Added 38 mins ago
OI
Développeur/Développeuse
Optisigma Inc.
Canada
- Full-time
A minimum of 5 years of experience within the last 10 years with Visual Studio (C#, .NET, Python) and Visual Studio Code (JavaScript, TypeScript, Node.js)
Added 2 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 3 hours ago
S
Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
…data integration solutions that connect our iCare platforms with various data sources, ensuring seamless data flow while maintaining the highest standards of security and compliance. Your…
Added 4 hours ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue…
Added 5 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
…Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable enterprise solutions, with responsibilities spanning AI-powered analytics, data…
Added 5 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
…Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable enterprise solutions, with responsibilities spanning AI-powered analytics, data…
Added 5 hours ago
R
Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 5 hours ago
R
Staff Cloud Security Engineer (Global Security)
RBC
Vancouver, BC · Toronto, ON
- Full-time
…RBC's Cloud Security posture. You will also contribute to the developer experience and foster a culture that encourages best security…
Added 5 hours ago
R
Senior Cyber Security Network Analyst (Global Security)
RBC
Toronto, ON
- Full-time
You will collaborate with teams within the unit to help meet their business objectives and implement changes to processes to increase agility and reduce costs within the unit.
Added 5 hours ago
R
Senior Manager, ALM Market Risk
RBC
Toronto, ON
- Full-time
Excellent knowledge of MS Office applications, especially Excel and PowerPoint. Familiarity with SQL and relational databases, as well as programming languages (Python and Visual Basic) and…
Added 5 hours ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
Coding experience in Python; including experience with libraries such as Pandas or NumPy for data manipulation and visualization.
Added 5 hours ago
W
AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Added 5 hours ago
U
Full Stack Engineer
Ultrassure
Toronto, ON
- Full-time
We are a small, focused team in downtown Toronto. We ship every day, work closely with our customers and care more about building useful software than process for the sake of process.
Added 6 hours ago
O
Principal, Total Portfolio Management Trading Desk
OPTrust
Toronto, ON
- Full-time
…a meaningful impact. Our culture is driven by team members with different backgrounds and perspectives creating an inclusive and fulfilling place to work for everyone. We work in a…
Added 8 hours ago
W
Data Engineer
Wiraa
Canada
- Full-time
Experience automating data processes using scripting or query languages such as Python, PowerShell, or T-SQL, with version control knowledge (e.g., Git)
Added 9 hours ago
TS
IT Business Systems Engineer - Collaboration Tools & Analytics /Spécialiste des systèmes d'affaires TI - Outils de collaboration et analytique
TD SYNNEX North America
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
The position also partners with development teams to troubleshoot production issues, support system enhancements, and ensure ongoing stability of internal tools, leveraging expertise in…
Added 9 hours ago
Quantitative Equity Developer Intern
CCLIM - Quantitative Equity
Vancouver, BC
Passion for Technology – we work with a range of technologies and programming languages, including Python, Kdb+/Q, R, Spark, AWS, and Databricks. Prior experience with these technologies is…
Added 9 hours ago
T
Software Engineer I
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 10 hours ago
MF
Senior Portfolio Analyst
Mackenzie Financial Corporation
Toronto, ON · Greater Toronto Area, ON
- Other
…analytics, reconciliation and data quality responsibilities with a stronger focus on automation, dashboard development, Python and SQL, and AI-enabled ways of working. The successful…
Added 10 hours ago
KI
Co-op/Intern AI Quality, Evaluation & Security
Kinaxis Inc.
Ottawa, ON
- Internship
Comfortable writing code in Python or a comparable language, and comfortable with Git and GitHub.

QuadReal Property Group

Manager, AI Delivery

Calgary, AB, Canada
Vancouver, BC, Canada
Toronto, ON, Canada

The expected annualized base salary range for this role is $140,000-$160,000. · Full-time

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Job details

Pay: The expected annualized base salary range for this role is $140,000-$160,000.
Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

Original job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

Role Description

The AI & Digital Innovation team builds and runs AI products used across QuadReal, from document intelligence and underwriting support to agentic workflows connected to our core platforms. The team is small and senior, spanning AI architecture, engineering, business analysis, program management and business engagement, and it moves at the pace of a technology that keeps changing underneath it. What it needs is a manager who owns delivery of the portfolio end to end, makes the prioritization calls, and raises the technical bar without becoming the bottleneck.

This is the connective role on the team. AI architecture sets the technical direction, business engagement brings the demand, and delivery has to tie the two together into working software that people actually use. This individual is the glue: the single point of accountability for what ships, when, at what quality, and whether the business got the value it was promised.

This is a functional manager, not a pure people leader. This individual will be in the work: reviewing designs and requirements, sitting in stakeholder sessions, building the value case, and deciding what gives when two initiatives need the same person in the same week. Using AI day to day is central to the job, not a side interest. Intimate, hands-on knowledge of how these tools behave is what makes the judgment calls sound and what earns credibility with our stakeholders. They are deliberately hands-off with senior specialists and hands-on with team members who are still growing.

The hardest part of this role is judgment. Business stakeholders bring more ideas than the team can build, and they do not arrive labelled. Some are valuable, some only sound urgent, some are both. This individual separates them, quantifies what is real, sequences the rest, and says no clearly enough that the relationship still works afterward.

This person will:

Own delivery of the active AI portfolio: scope, sequencing, quality, and the commitments made to the business

Manage and develop the delivery team (program and project management, business analysis, engineering) while working alongside senior specialists in AI architecture and business engagement

Make prioritization and trade-off calls across competing initiatives, and defend them to sponsors and leadership

Help business sponsors quantify the value of their initiative before build, and validate it after launch

Act as a credible technical counterweight in design, requirements and vendor discussions

Responsibilities

Delivery Ownership & Team Leadership (30%)

Own delivery outcomes across the portfolio, not just delivery activity: what shipped, whether it works, and whether the business is using it

Manage, coach and develop the delivery team; set clear expectations and give direct feedback early rather than at review time

Set the priorities and outcomes the Project Manager runs the delivery cadence against, and clear the obstacles they escalate

Own the portfolio roadmap, capacity plan and budget-versus-actual through the Program Manager, and make the capacity and sequencing calls yourself

Distribute ownership so no initiative is single-threaded through one person, including this role

Work hands-off with senior specialists: pressure-test the thinking, make the call, then get out of the way

Hold a consistent quality bar across requirements, design reviews, accuracy and evaluation testing, and release readiness

Stay in the work: prototypes, prompt and agent design, code and design reviews, stakeholder sessions, documentation

Prioritization & Value Definition (25%)

Screen incoming AI requests against the team intake framework: data readiness, technical feasibility, business readiness, minimum viable accuracy, output verifiability, and build versus buy

Make and communicate sequencing decisions when initiatives compete for the same capacity, and revisit them as conditions change

Partner with business sponsors to quantify value in their own terms (time saved, cost avoided, revenue enabled), then hold the baseline after launch

Defer or stop work that will not pay off, and explain the reasoning in a way the sponsor can accept and repeat

Build a roadmap where initiatives reinforce each other: shared components, common data foundations, and sequencing that compounds rather than competes

Design with cost in mind: model AI consumption cost into solution design and flag early when an approach will not scale economically

Technical Judgment & Solution Quality (25%)

Provide consistent technical direction across initiatives: LLM application patterns, agentic workflows, retrieval and context design, API and MCP integration, evaluation, and human-in-the-loop design

Interrogate requirements rather than transcribe them: decompose compound asks, surface conflicting requirements, and force priority calls before build starts

Own delivery discipline across the development lifecycle: environments, source control, code review, CI/CD, release management, and handoff to run and support

Make sure solutions are instrumented so adoption and benefit can be measured rather than estimated

Operate inside enterprise guardrails: AI governance tiers, security and data access requirements, architecture standards, and vendor assessment

Stakeholder & Vendor Management (20%)

Act as the credible face of delivery to the business, from analyst to executive, and the person stakeholders come to early rather than late

Translate technical constraints into business language, and business asks into buildable scope

Handle hard conversations well: timeline slips, scope cuts and feasibility limits delivered without damaging the relationship

Report progress, risk and realized value to leadership forums, including the AI Oversight Committee

Manage vendor and partner delivery: hold scope, quality and change control, and escalate commercial issues with evidence

Experience and Qualifications

Must-Have

5+ years delivering technology solutions, including 2+ years managing people or leading a delivery team

Real AI depth, not passing interest: you have shipped LLM or ML-based solutions and can hold your own on model selection, prompt and agent design, evaluation and accuracy trade-offs, and where AI is the wrong tool

You use AI tools daily and can show us what you have built with them

A track record of prioritizing under constraint: you have told a senior stakeholder no, explained why, and kept the relationship intact

Demonstrated ability to help a business partner quantify value, including honesty about where the numbers were soft

Experience owning capacity planning across competing initiatives, including the judgment to move people mid-flight and the willingness to make that call

High emotional intelligence and excellent communication: you read a room accurately, adjust to your audience, and can be direct without being abrasive

Experience managing within or as part of a software development project: environments, code review, CI/CD and release management

Comfortable being hands-off with senior experts and hands-on mentoring junior team members, and clear on when each is called for

Sound judgment in ambiguity: you weigh what the business says it needs against what is actually going to move, and sequence accordingly

Nice-to-Haves

Commercial real estate, asset management or financial services background

Hands-on coding ability (Python, TypeScript) sufficient to review work and build a working prototype

Azure, Microsoft 365, Fabric or Power Platform environments

Enterprise integration experience: APIs, MCP, and core platforms such as Yardi or comparable ERP

Agile delivery experience in a fast-moving environment where scope and sequencing evolve as the technology does

Vendor and SOW management, including change order and scope discipline

Experience standing up measurement or instrumentation for adoption and benefit tracking

This job posting is for an existing vacancy within our organization.

The expected annualized base salary range for this role is $140,000-$160,000.

Based on the position, QuadReal offers a competitive total rewards package in addition to the base pay, which may include a performance-based incentive plan, comprehensive health & dental benefits, pension plan, and paid time off.

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual’s skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.

We value diverse experiences and perspectives. Even if your skills don’t align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.

We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.

Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.

Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.

QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.

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More about this job

Responsibilities

The manager will own the end-to-end delivery of the AI portfolio, including scope, sequencing, and quality while managing the delivery team. They are responsible for making prioritization trade-offs, quantifying business value, and acting as a technical counterweight in design and vendor discussions.

Requirements

Candidates must have at least 5 years of experience delivering technology solutions, with 2+ years in a leadership or management role. Deep, hands-on experience with LLM or ML-based solutions and a track record of managing complex technical projects are required.

Skills

AI delivery
Portfolio management
Team leadership
LLM application patterns
Agentic workflows
Technical architecture
Stakeholder management
Capacity planning
Budget management
Vendor management
Business analysis
Project management
Prompt design
Data readiness
Technical feasibility

Benefits

Performance-based incentive plan
Comprehensive health benefits
Dental benefits
Pension plan
Paid time off

Visa sponsorship

Not detected in the job text

Keywords

AI
LLM
Machine Learning
Portfolio Management
Project Management
Business Analysis
Software Development
CI/CD
API
MCP
Azure
Microsoft 365
Fabric
Power Platform
Python
TypeScript
Yardi
ERP
Agile
AI Governance
Data Access
Vendor Management
Capacity Planning
Budgeting
Stakeholder Engagement
Technical Architecture
Agentic Workflows
Retrieval Design
Human-in-the-loop
Release Management

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