Jobs in Canada

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Added 18 days ago
CM
Senior Advisor, Zero Emissions
Coast Mountain Bus Company
Vancouver, BC · Greater Vancouver, BC
- $91,840 to $137,760 CAD / year
- Full-time
…skills in data science are an asset along with experience in machine…
Added 18 days ago
GE
Director of Pricing and Business Analytics
GFL Environmental Inc.
Vaughan, ON
- Full-time
Advanced Analytics & AI: Champion statistical modeling, machine learning, and predictive analytics to transition the business from descriptive reporting to prescriptive intelligence.…
Added 18 days ago
PG
AWS SageMaker Engineer
Pacer Group
Toronto, ON
- $50 to $53 CAD / hour
- Contract
Job Title: Senior AWS SageMaker / MLOps Engineer
Added 18 days ago
RB
Senior Director, Data Architecture
Royal Bank of Canada
Toronto, ON
- Full-time
The Senior Director, Data Architecture simplifies and unifies RBC's data architecture across the full lifecycle: manufacturing, distribution, discovery, consumption and governance. They own…
Added 18 days ago
RI
Senior Full Stack Engineer - Java / AI
Rose International
Mississauga, ON
- Full-time
Apply modern technologies including Java, Spring, Kafka, Angular, React.js, AI/Machine Learning, MongoDB, Oracle, and Kubernetes in a collaborative, fast-paced environment.
Added 18 days ago
D
Modeling & Risk Management - Senior Risk Analyst
Driven
ON · Ontario, Canada
- Full-time
Added 18 days ago
D
Senior Manager, BT Applications
Diligent
Vancouver, BC
- Full-time
…but as an opportunity. The future belongs to those who keep learning, and we are building it together. At Diligent, you’re not just building the future - you’re an agent of positive change,…
Added 18 days ago
S
Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
Senior Enterprise Architect – Canada Financial Services Consulting Practice
Added 18 days ago
AC
Senior Software Developer (industrial automation)
ALTEN Canada
Woodbridge, ON
- $80,000 to $100,000 CAD / year
- Full-time
The Senior Software Developer will contribute to the development of machine-control software for custom industrial automation systems. The role focuses on PC-based control systems rather…
Added 18 days ago
Senior Applied Scientist
Coveo
Montreal, QC
Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
Added 19 days ago
Q-
MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
API Development (REST / gRPC) – proven ability to deploy Machine Learning models to production.
Added 19 days ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 19 days ago
O
Agentic Engineering Architect
OSEDEA
Montreal, QC
- Full-time
You can lead technical conversations with both senior stakeholders and development teams, explain trade-offs clearly, and build confidence in your recommendations.
Added 19 days ago
IR
Senior Compiler Engineer
IC Resources
Toronto, ON
- Full-time
We’re looking for Senior to Staff-level Compiler Engineers to join teams tackling problems at the intersection of software, hardware, and performance-critical systems.
Added 19 days ago
Senior Software Developer, Eye Tracking Algorithms
Google
Waterloo, ON
Experience applying linear algebra, signal processing, or machine learning techniques to solve complex algorithmic problems.
Added 19 days ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable…
Added 19 days ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Report: You will report to a Senior Software Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Added 19 days ago
A
Software Development Manager, Integration ML Models
Autodesk
Toronto, ON
- Full-time
Report: You will report to a Senior Software Development Manager in the Architecture, Engineering, and Construction (AEC) Solutions Team.
Added 19 days ago
Manager, Product Analytics
Rogers Communications
Toronto, ON
The Manager, Product Analytics is a senior analytics professional within the Business Intelligence organization, dedicated to supporting the Product Management team and its stakeholders…
Added 19 days ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- $114,400 to $203,900 CAD / year
- Full-time
As a Senior Software Engineer, you will be a hands-on technical leader working across the PowerPoint for the web stack. You will design and deliver end-to-end AI-powered features, from…
Added 19 days ago
T
Data & AI Alliance Executive
Toast
Toronto, ON
- $130,000 to $165,000 CAD / year
- Full-time
Experience with emerging technologies such as AI, machine learning, cloud data warehousing, and SaaS, and building joint value propositions
Added 19 days ago
RB
Senior Director, DevOps Product Management and Strategy
Royal Bank of Canada
Toronto, ON
- Full-time
The Senior Director of DevOps Product Management and Strategy is a transformation-focused strategic leadership role that will shape RBC's future as a technology-led financial services…
Added 19 days ago
N
Director of AI Delivery
nesto
Toronto, ON
- Full-time
Lead the pod. Lead a senior delivery pod (delivery managers, underwriting expert, data scientists, program PM) day to day. Guide the AI Delivery Managers as they gather requirements for…
Added 19 days ago
N
Director of AI Delivery
nesto
Montreal, QC
- Full-time
Lead the pod. Lead a senior delivery pod (delivery managers, underwriting expert, data scientists, program PM) day to day. Guide the AI Delivery Managers as they gather requirements for…
Added 19 days ago
F
Senior AI Engineer (NVIDIA + LLM Inference) - Onsite - Toronto, Canada
FullStack
Toronto, ON
- Full-time
5+ years of professional experience in AI/ML engineering, software engineering, or machine learning infrastructure.

OSEDEA

Agentic Engineering Architect

Montreal, QC, Canada

Full-time

Apply on jobs.lever.co About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 27, 2026

Original job description

Who we are

We’re a thriving and agile tech development firm. People are at the center of everything we do. Simply put, we care. Our team personally cares about our clients and the world around them, and we care about our team’s life-long dreams, aspirations, and career development.

We strongly believe in the power of community. This is why we seek opportunities to build meaningful relationships with everyone around us.

We celebrate diversity in all its forms. Backgrounds, personalities, career paths, languages... you name it. We actively innovate, learn, and share stories around the topic. We want everyone to feel welcomed and included in all we do.

We like having fun and enjoying ourselves. We wake up every day inspired to build a more efficient and enjoyable world.

Role overview

Agentic engineering changes how software is built and how organizations operate. We're designing and building agentic engineering systems that can reason, use tools, interact with enterprise environments and execute complex workflows.

We're looking for an Agentic Architect who wants to solve complex technical challenges, push the boundaries of what's possible with bleeding edge agentic technologies and help organizations turn emerging capabilities into reliable, production-ready solutions.

In collaboration with our engineering team, you'll play a pivotal role in shaping architectural strategies, guiding technical decisions, coaching team members and establishing the foundations needed to bring agentic engineering systems into real-world enterprise environments.

This role is for someone who enjoys staying close to the technology while influencing the bigger picture. Someone who can make sound architectural decisions today while questioning what better approaches might look like tomorrow.

\nWhy this role matters

Agentic Engineering is evolving quickly, and many of the architectural decisions that will shape its solves still need to be made.

At Osedea, you'll have the opportunity to work on these challenges directly, alongside people who are equally curious about what's next. You'll move between experimentation, architectural decisions, and real client implementations, helping define approaches that can be applied across projects and industries.

You'll have room to influence technical direction, challenge established ways of working, and contribute to how we build AI systems as the technology evolves.

Your key responsibilities

Work with clients and technical teams to understand their software engineering practices, identify opportunities to improve them with agentic engineering, and define the architectures, tools, and approaches needed to make those improvements happen.
Modernize best practices from traditional software engineering into Agentic Engineering’s latest standards and protocols, including best practices for agents, skills, harnesses, observability and scaling.
Design, Develop and Scale Software Factories and other Agentic Engineering systems.
Act as a trusted technical partner, translating complex business challenges into pragmatic enterprise solutions and facilitating informed technology decisions;
Collaborate hands-on with multidisciplinary teams, challenging ideas, reviewing designs, prototyping approaches, and helping solve difficult technical problems;
Help shape and evolve Osedea's engineering practices through agentic engineering , experimentation, reusable tools and architectures, and knowledge sharing. Continuously evaluate emerging technologies and adapt approaches as the field evolves.
Design and guide the implementation of reliable, secure, and scalable enterprise software, using agentic AI architectures.

The ideal candidate

You bring extensive experience in software development and architecture (typically 10+ years), with a strong track record of designing complex, distributed, or enterprise-scale systems.
You have strong architectural judgment. You can translate complex business challenges into scalable architectural solutions while balancing innovation, feasibility and business value;
You've moved beyond experimenting with LLMs and have hands-on experience designing, building, or deploying agentic engineering solutions. You understand the challenges that emerge when moving from prototypes to production.
You can lead technical conversations with both senior stakeholders and development teams, explain trade-offs clearly, and build confidence in your recommendations.
You enjoy having the autonomy to make an impact without relying on a formal hierarchy. You're comfortable taking initiative, challenging ideas constructively, and learning from your peers.
You're passionate about emerging AI technologies, enjoy exploring new approaches and continuously challenge your own assumptions;
You communicate complex technical concepts clearly to diverse audiences and communicate professionally in both French and English.
You thrive in environments that are fast paced and where technology is quickly evolving. You’re not afraid of reinventing the way you work and exploring new technologies.

We care about what you've built, the decisions you've made, and how you approach unfamiliar problems. Your technical judgment, curiosity, and ability to turn ideas into working systems matter more to us than a particular degree or technology stack.

You should be proficient with

Agentic architectures: Designing autonomous and semi-autonomous agents, multi-agent coordination, orchestration, tool execution, planning, memory, and context management.
LLM application development: Working with foundation models, RAG, embeddings, structured outputs, tool calling, context engineering, A2A, ACP and MCP.
Agent frameworks and orchestration: Experience with technologies such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent approaches, with the ability to evaluate when to use a framework versus a custom solution.
Software architecture: Strong foundations in distributed systems, APIs, event-driven architectures, integration patterns, authentication, authorization, and enterprise security.
Cloud platforms: Experience designing and deploying solutions on Azure, AWS, or Google Cloud, including their AI services and infrastructure.
Production AI systems: Designing for evaluation, observability, failure recovery, human oversight, reliability, latency, cost optimization, and continuous improvement.

What we offer

Competitive Salary and contribution to your pension plan (RRSP)
Flexible hours of work and choose how you work
Work from anywhere up to 8 weeks
Paid sabbatical
Wellness and productivity spending account
Parental program
Activities
Training
And more..

The process for this role if you are selected

20 min - Initial introductory call with a person from our team.

90 min - In-person interview at our office

Offer presentation

Only considered candidates will be contacted. Read our full hiring process here.

Apply on jobs.lever.co About employer

More about this job

Responsibilities

You will design and scale agentic engineering systems while collaborating with multidisciplinary teams to translate complex business challenges into pragmatic enterprise solutions. Additionally, you will help shape engineering practices through experimentation, reusable tools, and knowledge sharing across the organization.

Requirements

The ideal candidate has 10+ years of experience in software development and architecture with a strong track record in distributed or enterprise-scale systems. You must possess hands-on experience in deploying agentic AI solutions and be proficient in LLM application development and agent orchestration frameworks.

Skills

Agentic architectures
LLM application development
RAG
Multi-agent coordination
Orchestration
LangGraph
Semantic Kernel
AutoGen
CrewAI
Distributed systems
Cloud platforms
Azure
AWS
Google Cloud
Software architecture
Enterprise security

Benefits

Competitive salary
Pension plan (RRSP)
Flexible hours
Work from anywhere up to 8 weeks
Paid sabbatical
Wellness and productivity spending account
Parental program
Training

Visa sponsorship

Not detected in the job text

Keywords

Agentic Engineering
Software Architecture
LLM
RAG
LangGraph
Semantic Kernel
AutoGen
CrewAI
Distributed Systems
Cloud Computing
Azure
AWS
Google Cloud
Enterprise Solutions
Observability
Scalability
Artificial Intelligence
Software Factories
Event-driven Architecture
API
Authentication
Authorization
Prototyping
Technical Leadership
System Design
Machine Learning
Data Engineering
Automation
Workflow Orchestration
Memory Management

Seniority

Lead

Perks

Flexible hours
Parental leave
Retirement plan
Wellness program
Paid training

Tools

LangGraph
Semantic Kernel
AutoGen
CrewAI
MCP
Azure
AWS
Google Cloud

Languages

English
French

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Work requirements

Jobs in Canada