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Added 3 months ago
AG
Manager, Marketing Operations & AI
Adelphi Group
Remote, Canada
- Full-time
- Remote
Build, maintain, and optimize AI workflows, lead flows, and scoring frameworks to improve funnel health.
Added 1 month ago
M
Senior Director, Platform
Miovision
Remote, Canada
- Full-time
- Remote
Lead, coach, and aggressively grow the Platform Engineering organization by recruiting top-tier talent with deep expertise in APIs, distributed systems, and AI.
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
Reporting to the Director of IT & Fraud, we are hiring a Fraud Product and Operations Lead. You will work with a team focused on identifying, investigating, and preventing fraud across the…
Added 1 month ago
T
Sr. DevOps Engineer, TD Securities
TD
Toronto, ON
- Full-time
We need someone to provide expert advice and lead in system and application administration, installation, configuration/provisioning, platform planning and design, integration and release…
Added 1 month ago
Mechanical Engineering Intern Summer 2027
Rocket Lab Corporation
Toronto, ON
…knowledge and experience you bring to the role, your ability to lead development projects without supervision, and your ability to successfully collaborate across teams to deliver…
Added 5 months ago
VA
Senior Technical Analyst - Data Warehouse Developer
Vancouver Airport Authority
Vancouver, British Columbia
- Full-time
We have a full-time opportunity for an innovative Senior Technical Analyst – Data Warehouse Developer. This role will be part of the Advanced Analytics team, seeking a skilled Data…
Added 6 months ago
D
Embedded Software Developer
Dometic
Trois-Rivières, Quebec
- $84,000 to $100,000 CAD / year
- Full-time
We are on growth journey – now looking for our next star – a passionate Embedded Software Developer. This position reports to Lead Software Engineer and will work in Trois-Rivières, Quebec.
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
Added 6 months ago
AI
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 3 months ago
S
Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
…data, and turning them into models that run reliably. You will lead a team of data scientists and machine-learning engineers as a player-coach: you set a technical direction, mentor the…
Added 3 months ago
V
Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
Lead the development and execution of AI and data strategies that advance Verily’s mission to transform healthcare through data-driven innovation.
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
Build the AI-assisted, agentic development experiences that power App Runtime, spanning the full tech stack - React, Go, Python, and Java
Added 2 months ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
Lead the installation, upgrades and integration of the current and future Kubernetes platform(s), technologies and tools.
Added 3 months ago
RE
Systems Performance Analyst II
Recurrent Energy
Guelph, Ontario
- Full-time
Reports To: Team Lead, System Performance and Data Analytics
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
…Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance…
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
Create AI-driven marketing and growth systems, including lead targeting, account research, personalized outreach support, and campaign automation.
Added 6 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Vancouver, British Columbia
- $137,300 to $181,890 CAD / year
- Full-time
Lead design reviews, raise code quality, and mentor peers on real-time pitfalls, clean abstraction boundaries, and maintainable C/C++/Python practices.
Added 6 months ago
S
Software Architect - AI Accelerated Engineering Lead / Architecte Logiciel
Slalom
Montreal, Quebec
- Full-time
Compétences en programmation : maîtrise de langages comme TypeScript/Node, Python ou Java ; à l’aise avec React/Next et les frameworks modernes.
Added 6 months ago
C
Optimum Adobe Engineer (contract)
Capgemini
Toronto, Ontario
- Contract
The Analytics Lead / Adobe V8 Migration Specialist is an experienced professional with deep expertise in Adobe Campaign Classic, V7-to-V8 migrations, and data-driven campaign execution. The…
Added 6 months ago
KC
Senior Manager GRC
KPMG Canada
Toronto, Ontario
- Full-time
Lead complex use cases Enterprise/Operational Risk, Resilience, Regulatory Compliance, Policy, IT/Cyber Risk, Vulnerability, Third Party Risk, Audit, Issues/Remediation, Business…
Added 6 months ago
HI
US Portfolio Manager
Hillsdale Investment Management Inc.
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
Lead the architecture and continuous improvement of our quantitative research platform, partnering with engineering to translate research needs into production-ready systems.
Added 6 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
…team’s evolving role in a rapidly advancing GenAI landscape. - Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and…
Added 6 months ago
M
Senior Design Engineer - Vehicle Systems
Multimatic
Markham, Ontario
- Full-time
The Vehicle Systems Department at MTC is a group of multi-disciplinary experienced engineers that lead high-performance vehicle development projects, as well as drive R&D activities…

QEA Tech

Senior Applied AI Engineer - Product & Revenue Systems

Markham, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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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