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Added 1 month ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
…team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to…
Added 1 month ago
C
NPI Hardware Co-op (8 month - January 2027)
Ciena
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- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 month ago
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Technical Specialist, Senior - Vital Software
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Toronto, ON · (RSBU) Toronto
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 6 months ago
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Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.
Added 6 months ago
A
Sales Engineering Co-Op
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Kitchener, Ontario
- Internship
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and…
Added 6 months ago
A
Software Engineering Co-op
Acceldata
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This is a 4 month assignment with required on-site presence at 151 Charles Street West, inside the Communitech Innovation Center.
Added 6 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, Quebec
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAl technologies to join the team and drive key initiatives forward.
Added 6 months ago
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Co-op Researcher – Computer Vision and Machine Learning
Huawei Canada
Markham, Ontario
- Volunteer
…software development skills, previous internship experiences with C++ and Python…
Added 6 months ago
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Optical Engineer (Ph.D. / Early Career)
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- Full-time
In this role, you will work closely with cross-functional science and engineering teams to transition optical sub-system designs from research prototypes into reliable, manufacturable…
Added 6 months ago
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Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data…
Added 6 months ago
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Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
Developer toolchain A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in…
Added 6 months ago
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Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 3 months ago
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Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
…solutions that address healthcare challenges. You will collaborate with a diverse cross-functional team to build reusable and scalable tools that unlock information from structured and…
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
FS
DSP Designer
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Remote, Canada
- Full-time
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Fidus is a global high-tech design firm headquartered in Ottawa, with additional design centres in Kitchener-Waterloo and San Jose. We specialize in leading-edge electronic product…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
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Remote, Canada
- Internship
- Remote
Georgian is a Toronto-based venture capital firm that partners with high-growth technology companies across cybersecurity, AI software, robotics, defense. We manage about $6B in assets and…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
…who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results.…
Added 2 months ago
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Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful…
Added 1 month ago
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Consultant, Actuarial Insurance Solutions - Life & Health (Kitchener)
Deloitte
Kitchener, ON
- Full-time
…families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country,…
Added 1 month ago
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Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
…company's applied AI implementation program and will collaborate with engineering, IT and business…
Added 1 month ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack…
Added 1 month ago
AM
3rd Party IP Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Python and/or Perl programming desirable. Should be familiar with UNIX environment.
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
Work with QEA’s data pipelines, imagery, analysis outputs, and customer data to continuously improve AI systems and product capabilities.

QEA Tech

Senior Applied AI Engineer - Product & Revenue Systems

Markham, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.
Posting language: English
Posted: May 6, 2026

Original job description

Role Mission

Build and deploy AI systems that directly drive revenue by embedding AI across QEA’s product, sales, and marketing workflows.

This role focuses on execution: turning QEA’s building data, imagery, analysis outputs, and business workflows into production AI tools that accelerate deals, generate pipeline, improve proposal quality, and enable AI-assisted retrofit planning.

The ideal candidate is a senior hands-on builder who can work across product, engineering, sales, and business teams to identify high-impact AI opportunities, build working systems, and deploy them into real operational use.

What Success Looks Like: 12–18 Months

Product: Ship AI-assisted retrofit planning features, including detection, recommendations, prioritization, and ROI-supporting outputs.

Sales: Improve win rate and sales velocity through AI-generated insights, automated proposal support, portfolio-level analysis, and pre-sales intelligence.

Marketing / Growth: Develop AI-driven targeting, outbound, and campaign automation systems that generate qualified pipeline.

Platform: Help establish QEA as an AI-driven building intelligence platform that supports retrofit planning, financing, and long-term asset management.

Core Responsibilities

Build AI-powered product features for retrofit planning, including building issue detection, retrofit recommendations, prioritization logic, and ROI-supporting outputs.
Develop AI-assisted sales tools, including pre-sales insights, automated proposal generation, portfolio analysis, client-specific opportunity summaries, and supporting materials for business development.
Create AI-driven marketing and growth systems, including lead targeting, account research, personalized outreach support, and campaign automation.
Work with QEA’s data pipelines, imagery, analysis outputs, and customer data to continuously improve AI systems and product capabilities.
Support SaaS product development by contributing to APIs, dashboards, automation workflows, internal tools, and production AI integrations.
Collaborate closely with product, engineering, building science, sales, and leadership teams to prioritize and deploy high-impact solutions quickly.
Help define the technical roadmap for applied AI across QEA’s product and revenue systems.
Provide technical direction to junior or intermediate engineers as the AI team grows.

Ideal Candidate Profile

The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.

They are a strong hands-on builder with experience shipping production systems, not just experiments or prototypes. They are comfortable working with ambiguous business problems, translating them into technical solutions, and iterating quickly based on real-world feedback.

This person should be capable of operating as a senior technical lead, helping QEA prioritize AI initiatives and eventually directing junior or intermediate team members as execution needs grow.

Required Technical Skills

Strong experience with:

Python and modern AI / ML development workflows
Machine learning frameworks and production model deployment
Computer vision systems, especially image-based detection, segmentation, classification, or analysis
LLM-based systems, including document processing, workflow automation, retrieval, structured extraction, or AI-assisted content generation
Structured and unstructured data
Data pipelines and model improvement workflows
Deploying AI systems into production environments
APIs, SaaS product development, dashboards, or internal automation tools

Nice-to-Have Experience

Experience with any of the following would be valuable:

Building science, energy modelling, construction, retrofits, or real estate analytics
Drone imagery, thermal imagery, geospatial data, or 3D building data
Proposal automation, sales enablement tools, or portfolio analysis systems
Marketing automation, lead scoring, or AI-driven outbound systems
Startup or scale-up environments where speed, ownership, and ambiguity are part of the role

Mindset

Execution-focused builder.

This person should move quickly, prioritise impact, and be comfortable working across technical and business domains. They should be able to identify where AI can create real business value, build practical solutions, and avoid getting stuck in research mode when a usable system can be shipped and improved.

They should be comfortable with ambiguity, able to work directly with non-technical stakeholders, and capable of turning loose business needs into deployed products and revenue tools.

First 90-Day Plan

Month 1: Understand QEA’s Data, Product, and Workflows

Learn QEA’s current product, data assets, AI workflows, sales process, and retrofit planning goals.
Review existing imagery, analysis outputs, building data, proposals, and customer-facing deliverables.
Identify the highest-impact AI opportunities across product, sales, and growth.
Define a focused execution plan for the first phase of work.

Month 2: Build Initial High-Impact AI Tools

Build and test initial AI-assisted sales or proposal tools.
Begin developing core AI-assisted retrofit planning features.
Work with engineering and product teams to integrate early tools into internal workflows.
Validate outputs with sales, building science, and leadership teams.

Month 3: Launch First Production Workflows

Launch the first usable AI-driven sales, proposal, or retrofit planning workflow.
Measure impact on speed, quality, and business usefulness.
Iterate based on feedback from internal users and customer-facing teams.
Define the next phase of the roadmap, including whether additional junior or intermediate support is needed.

Role Scope and Team Structure

This role has a broad 12–18 month mandate across product AI, sales enablement, marketing automation, proposal generation, portfolio analysis, and retrofit planning.

Given the breadth of the opportunity, the role should initially focus on the highest-impact priorities rather than attempting to execute every workstream at once. The senior hire will help determine sequencing, technical approach, and resource needs.

As the work expands, this role may grow into a technical lead position with support from junior or intermediate engineers who can help execute under the senior engineer’s direction.

Positioning

QEA is building the system that helps decide how buildings get fixed, financed, and managed.

This role sits at the center of that transition by turning QEA’s building intelligence, AI capabilities, and customer workflows into scalable product and revenue systems.

Impact

This role directly impacts:

Revenue growth
Sales velocity
Product differentiation
Retrofit planning capabilities
Proposal quality and automation
AI-driven platform development
QEA’s transition from services-enabled software toward a scalable AI-driven platform

The right person will help QEA move faster, sell smarter, and build the next generation of AI-powered building intelligence tools.

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More about this job

Responsibilities

The role involves building AI-powered product features for retrofit planning and developing AI-assisted sales tools. It also includes creating AI-driven marketing systems and collaborating with various teams to deploy high-impact solutions.

Requirements

The ideal candidate should have over 5 years of experience in applied AI, machine learning, or related fields, with a strong focus on building production systems. They should be comfortable with ambiguous business problems and capable of leading technical initiatives.

Skills

Python
Machine Learning
Data Engineering
Computer Vision
LLM-based Systems
Data Pipelines
APIs
SaaS Product Development
Automation Workflows
Image-based Detection
Segmentation
Classification
Analysis
Proposal Automation
Sales Enablement Tools
Marketing Automation

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Machine Learning
Data Engineering
Computer Vision
LLM
Sales Tools
Marketing Automation
Proposal Generation
SaaS
APIs
Automation Workflows
Building Science
Energy Modelling
Construction
Real Estate Analytics
Drone Imagery
Thermal Imagery
Geospatial Data
3D Building Data
Portfolio Analysis
AI-driven Systems
Revenue Growth
Sales Velocity
Product Differentiation
Retrofit Planning
AI Capabilities
Customer Workflows
Building Intelligence
Technical Roadmap
Production AI Tools

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