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Added 1 day ago
Senior Machine Learning Engineer
Skip
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 2 days ago
Senior Machine Learning Engineer
Just Eat Takeaway.com
AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 2 days ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
Set technical direction with architects and senior engineers across AI services, machine learning, RAG, document processing, agent workflows, data pipelines, application integration and…
Added 2 days ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…support secure, cloud-native and AI-enabled applications. In this senior role, you will lead the technical design and delivery of complex AI and machine-learning capabilities across…
Added 2 days ago
Senior AI Engineer
Tangerine
Toronto, ON
Full-time
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 2 days ago
Senior AI Engineer
Scotiabank
Toronto, ON
Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning…
Added 3 days ago
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
Contract · Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 3 days ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 3 days ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…this sort of hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y”…
Added 3 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $100 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 4 days ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
RBC
Toronto, ON
Full-time
Reporting to the Senior Director, Program Delivery, you will own end-to-end delivery accountability for this strategic AI portfolio while establishing AI SDLC standards that shape how RBC…
Added 4 days ago
Cloud Engineering Engineer 2
EPITEC
Ottawa, ON
Contract
Basic machine learning and MLOps understanding.
Added 4 days ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 4 days ago
Lead, AI/Machine Learning Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Lead, AI/Machine Learning Engineer will join the AI Delivery and Innovation team within the Platform Engineering, AI and Advanced Analytics department. This team acts as a central hub…
Added 4 days ago
Senior Forward-Deployed AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
As a Senior Forward-Deployed AI Engineer, you will own engagements end-to-end: scoping the problem, choosing the right approach across automation, classical ML, and GenAI/agents, and taking…
Added 4 days ago
Senior AI Engineer, IT Solutions 1
Urban Ridge Supplies
Toronto, ON
Full-time
We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics team. In this role, you will be a key liaison between business stakeholders and…
Added 4 days ago
Senior Applied AI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
The Senior Applied AI Engineer is responsible for designing, developing, and deploying advanced Gen AI and machine learning solutions that
Added 4 days ago
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 4 days ago
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
Full-time
Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Added 4 days ago
Principal AI/ML Engineer
Vanguard
Toronto, ON
Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 4 days ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
As a Machine Learning Engineer, part of Zafin's AIOS Product team, you will build the machine learning and AI systems that power the AIOS Knowledge Fabric and help agents reason over…
Added 4 days ago
AI Platform Engineering Lead
AGF Investments
Toronto, ON
Full-time
…mentoring other engineers, evaluating platforms, and advising senior leadership. It is a senior role carrying technical leadership responsibility, intended for an engineer-architect who is…
Added 4 days ago
Associate Machine Learning Engineer
Medcan
Toronto, ON
$71,465 to $98,264.75 CAD / year
Full-time
Medcan is seeking a motivated and hands-on Associate Machine Learning Engineer to support the development and delivery of innovative machine learning, AI, optimization, and analytics…
Added 4 days ago
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
Full-time
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 4 days ago
Senior AI Engineer - AI Platform & ML Engineering
Aviso Wealth
Remote, Canada
$135,000 to $150,000 CAD / year
Full-time · Remote
We’re looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI…

Urban Ridge Supplies

Lead Full-Stack GenAI Engineer

Toronto, ON, Canada

Pay: This role offers a salary range of $125,000 to $169,100 per annum .
Job type: Full-time
Experience: Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Posting language: English
Posted: Sep 24, 2026

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Original job description

Our Story & Purpose:

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.

As the largest private sector Living Wage Employer in Canada, we’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,700 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

As a Lead Full-Stack GenAI Engineer , you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment, stabilization, and ongoing support. You will build and scale enterprise-grade applications, APIs, RAG pipelines, agent workflows, and modern web applications while helping shape engineering best practices across the AI function. Working closely with business, technology, data, and AI teams, you will transform ambiguous problems into practical solutions that deliver measurable value.

You will remain a substantial hands-on individual contributor, personally writing, reviewing, integrating, deploying, and troubleshooting production code and technical assets. You will also turn recurring delivery needs into secure, reusable engineering capabilities that make future AI solutions faster, safer, and more consistent to implement and operate. We are seeking a highly technical and results-oriented engineer with deep expertise in full-stack development, cloud platforms, AI technologies, and software engineering leadership.

This is a Full-time, Permanent role based at our Vancity head office and will report directly to the Senior Manager, Generative and Cognitive AI . Candidates located in British Columbia will work in a hybrid environment. Candidates located in Ontario may work remotely.

How You'll Make an Impact:

Leading the end-to-end delivery of secure Generative AI and agentic AI solutions from discovery and prototyping through production deployment, stabilization, and support
Translating ambiguous business needs into measurable requirements, technical designs, thin vertical slices, and scalable solutions
Building substantial production-grade code, including Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
Developing secure, accessible React and TypeScript applications that support complete enterprise AI workflows, including human review, evidence, approvals, and exception handling where required
Integrating AI services with enterprise data, APIs, systems of record, workflow platforms, identity, and approved tools or connectors
Implementing secure CI/CD pipelines, infrastructure as code, observability, controlled release management, rollback, and production-support practices
Establishing evaluation frameworks, representative test datasets, automated tests, engineering quality gates, and operational monitoring for quality, safety, latency, reliability, and cost
Embedding privacy, governance, security, risk management, and Responsible AI controls into delivered solutions
Creating reusable libraries, SDKs, templates, connectors, UI components, project structures, and delivery patterns from validated recurring needs
Providing code-level leadership through mentoring, technical design guidance, code reviews, and hands-on troubleshooting
Diagnosing and resolving failures across models, retrieval, agents, tools, data, APIs, user interfaces, identity, infrastructure, and downstream systems using code, telemetry, and runtime evidence
Coordinating cross-functional dependencies and supporting operational readiness, knowledge transfer, and sustainable handover of solutions

What You’ll Bring to the Team:

Bachelor’s degree in computer science, Software Engineering, Data Science, Information Technology, or a related discipline, or an equivalent combination of education and relevant experience
Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
Deep, recent hands-on experience personally building, integrating, deploying, and supporting production GenAI, RAG, agentic AI, or intelligent automation systems
Advanced experience building production-grade Python applications, APIs, asynchronous services, and distributed systems, with strong software design, testing, and debugging skills
Strong experience developing secure, accessible modern front-end applications using React, TypeScript, and related frameworks
Hands-on experience with Azure cloud technologies, Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, or comparable AI platforms
Experience designing and implementing RAG pipelines, context engineering, structured generation, agentic workflows, secure tool integrations, and enterprise AI solutions
Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage, and reliable batch or event-driven pipelines
Experience integrating AI services with enterprise data, APIs, application systems, and workflow platforms
Strong knowledge of DevOps, CI/CD, infrastructure as code, containers, identity, observability, application monitoring, resilience, and controlled release practices
Experience designing repeatable evaluation and regression methods for AI quality, safety, task success, and operational performance
Experience leading technical delivery while remaining a substantial hands-on contributor, providing mentorship, and establishing engineering standards and best practices
Knowledge of secure coding, Responsible AI principles, privacy controls, data governance, and risk requirements in an enterprise environment
Ability to work directly with business users, domain experts, engineers, data and infrastructure teams, architecture, and control functions, with clear written and verbal communication

Extra Skills That Set You Apart:

Experience deploying Large Language Models, agent frameworks, and advanced Generative AI applications in enterprise environments
Experience with intelligent document processing, multimodal AI, high-volume document workflows, or human-in-the-loop reviewer solutions
Experience with Microsoft Foundry, Azure OpenAI, Azure AI Search, MLflow, Unity Catalog, and Databricks AI capabilities
Experience with enterprise API management, event-driven integration, workflow automation, and approved MCP-based tools or connectors
Experience implementing GenAIOps, LLMOps, AgentOps, or MLOps capabilities across multiple environments
Experience with containerization technologies, Kubernetes, cloud-native architectures, and platform engineering
Experience working in financial services, another regulated industry, or an environment handling sensitive information
Relevant certifications in Azure, Databricks, cloud architecture, AI engineering, security, DevOps, or software development disciplines

You’ll Thrive Here If You Are:

Innovative - You enjoy exploring emerging AI technologies and transforming ideas into practical business solutions.
Technical - You bring deep engineering expertise and are comfortable working across the full technology stack.
Collaborative - You build strong partnerships across business, data, and technology teams to achieve shared outcomes.
Results-Oriented - You focus on delivering scalable, maintainable solutions that create measurable value.
Mentorship-Focused - You enjoy helping others grow through coaching, knowledge sharing, and technical leadership.

We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.

What You’ll Earn:

This role offers a salary range of $125,000 to $169,100 per annum . The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.

Why You’ll Love Working Here:

A career at Vancity is more than just a job, you’re joining a tradition of changemakers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

Living Wage Employer: We’re the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada’s Top Employers
Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
Extra Stat Holidays: In addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process, including the application stage, we encourage you to let us know. We’re here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.

Job Id: 5PGMuaJ0uEpWA9QIruXFz9sh5fjLCwxJeFBMH3N+Am+riu8iG+BO4eW7wy66TDuUVId5jGIATof2+JE3GGO3loOWaZPsQ73uyQ==

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More about this job

Responsibilities

Lead hands-on delivery of secure Generative AI and agentic AI solutions, from discovery and prototyping through production deployment, stabilization, and support. Build production-grade services, APIs, RAG pipelines, agent workflows, and accessible web applications while establishing reusable engineering practices, mentoring colleagues, and ensuring security, governance, evaluation, and operational readiness.

Requirements

Requires a bachelor’s degree or equivalent experience and at least eight years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery. Candidates should have recent production experience with GenAI, RAG, or agentic systems; advanced Python and React/TypeScript skills; cloud and data engineering expertise; and experience with secure delivery, AI evaluation, technical leadership, and enterprise integrations.

Skills

Generative AI
Full-Stack Development
Python
React
TypeScript
Azure
Retrieval-Augmented Generation
Agentic AI
API Development
Data Engineering
DevOps
CI/CD
Infrastructure as Code
AI Evaluation
Responsible AI
Technical Leadership

Benefits

Annual Incentive Program
Flexible Benefits
Vacation
Additional Statutory Holidays
Care Days
Health Coverage
Dental Coverage
Defined Benefit Pension

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Full-Stack Engineering
Python
React
TypeScript
Azure
Azure OpenAI
Azure AI Search
Microsoft Foundry
Databricks
RAG
Context Engineering
Structured Generation
Agent Frameworks
APIs
Asynchronous Services
Distributed Systems
SQL
Data Engineering
CI/CD
Infrastructure as Code
Containers
Kubernetes
Observability
GenAIOps
LLMOps
AgentOps
MLOps
Responsible AI

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