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Added 11 mins ago
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Software Java Developer, Platform & Emerging Technologies
Autodesk
Montreal, QC
- Full-time
Autodesk is looking for a Software Developer to help build the next generation of cloud services, data platforms, and AI-powered capabilities that support Autodesk products and customers…
Added 11 mins ago
IC
Cloud Operations, Senior Specialist
Interac Corp.
Toronto, ON · Interac Corp. Head Office
- Full-time
Reporting to the Leader, Cloud Operations, the Senior Specialist, Cloud Operations provides senior-level AWS platform engineering expertise to operate, support, and continuously improve…
Added 11 mins ago
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Senior Lead IT Security Architect
Irving Oil
Saint John, NB
- Full-time
Design and develop secure architecture solutions for infrastructure, applications, data, and technology platforms
Added 11 mins ago
XI
Senior .NET / Full Stack Developer
XTM International
Remote, Canada
- Full-time
- Remote
Frontend: Angular, React, TypeScript AI Tools: Claude Code, Claude, Cursor, MCP Cloud & Data: Azure (Azure DevOps), AWS, SQL Server
Added 11 mins ago
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Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
Experience with large-scale data tools (Spark, Hadoop, etc.) and cloud platforms (AWS, GCP, Azure)
Added 11 mins ago
R
UI/UX Designer
RLDatix
Toronto, ON
- Full-time
…innovative Healthcare Operations Platform, we’re connecting data to unlock trusted insights that enable improved decision-making and help deliver safer healthcare for…
Added 11 mins ago
X
Senior .NET / Full Stack Developer
XTM
Montreal, QC
- Full-time
Frontend: Angular, React, TypeScript AI Tools: Claude Code, Claude, Cursor, MCP Cloud & Data: Azure (Azure DevOps), AWS, SQL Server
Added 11 mins ago
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202610-127399 AI/ML Compliance Lead
Roche
Mississauga, ON
- Full-time
…We seek an individual with excellent knowledge of the pharma data ecosystem, informatics systems, tools, and techniques with a focus on quality and compliance. As the AI/ML Compliance Lead…
Added 11 mins ago
ZS
ServiceNow Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
3. Architect integrations between ServiceNow and monitoring, observability, cloud, network, infrastructure, application, and third-party operational platforms.
Added 11 mins ago
BS
ServiceNow AIOps Architect.
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
…integrations between ServiceNow and monitoring, observability, cloud, network, infrastructure, application, and third-party operational platforms.4. Define CMDB and service topology…
Added 11 mins ago
BR
Senior Sql Database Administrator
BITS Recruiting
Toronto, ON
- Contract
…SQL Server databases in both on-premises and Microsoft Azure cloud environments, including database migration, performance optimization, backup and recovery, and ongoing operational…
Added 11 mins ago
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ServiceNow Architect
Tekshapers
Toronto, ON
- Full-time
Architect integrations between ServiceNow and monitoring, observability, cloud, network, infrastructure, application, and third-party operational platforms.
Added 27 mins ago
Java Full Stack Developer
Capgemini
Mississauga, ON
Added 27 mins ago
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Senior Full-Stack Developer: AI, Data & Analytics - AIDA (Toronto/Calgary)
Deloitte
Toronto, ON
- Full-time
AIDA (AI, Data & Analytics) builds technology solutions that transform how Audit & Assurance work gets done. We combine modern software engineering, AI and automation to create tools that…
Added 27 mins ago
DevOps Engineer
Aylo Careers
Montreal, QC
Advocate and help development teams migrating their services to more automated and elastic infrastructures, leveraging best-of-breed technology (Cloud, Kubernetes, Serverless, etc.)
Added 27 mins ago
Software Dev Engineer, AWS Transactional Services
Amazon
Toronto, ON
Added 27 mins ago
AC
Travel FI Data Audience Analyst
Air Canada
Toronto, ON · Dorval, QC
- Full-time
The Travel & FI Data Audience Analyst supports the design, execution, automation, and optimization of customer marketing audiences across Air Canada and Aeroplan channels. The role develops…
Added 41 mins ago
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Salesforce Developer
Brunel
Quebec, QC
- $100,000 to $125,000 CAD / year
- Full-time
Ground AI agents in enterprise data using Salesforce Data Cloud, retrieval-augmented generation (RAG), and prompt engineering.
Added 41 mins ago
MI
Salesforce Data Cloud Developer
Maarut Inc
Canada
- Contract
Design and implement Salesforce Data Cloud solutions and data models.
Added 41 mins ago
AI
Gen AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Build cloud-native AI solutions using AWS and optimize production performance.
Added 41 mins ago
AI
Forward Deployed Engineer
Apptoza Inc.
Toronto, ON
- Contract
We are seeking a Senior Forward Deployed Engineer with strong expertise in Python, PySpark, data engineering, AI application development, and cloud platforms. The candidate will work…
Added 41 mins ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Seeking an experienced AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications.
Added 41 mins ago
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Sr. Data Migration SME
Akkodis
Toronto, ON
- Contract
…effectiveness through the adoption of modern technology and data-driven decision-making. As part of a large-scale enterprise transformation initiative, the organization is investing in…
Added 41 mins ago
LI
Sr. Application Developer/Team Lead
Livingston International
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Hands-on experience with cloud platforms, preferably Amazon Web Services (AWS), including services like EC2, Lambda, S3, RDS (for SQL Server), API Gateway, CloudWatch, and AWS Developer…
Added 41 mins ago
SM
AI Solutions Developer
Sandbox Mutual Insurance
Saskatoon, SK
- Full-time
Technical Knowledge: Understanding of data management, system integration, APIs, databases, cloud technologies, and automation platforms

OSEDEA

Agentic Engineering Architect

Montreal, QC, Canada

Full-time

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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 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

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