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Added 14 mins ago
Superintendent Integrated Planning
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Red Lake, ON
Lead and develop a team of engineers and technical professionals through coaching, mentoring and performance management.
Added 14 mins ago
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Technical Specialist - Inside Sales
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- Full-time
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Sales Representative - Canada
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- $106,000 to $141,000 CAD / year
- Full-time
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OSEDEA

Agentic Engineering Architect

Montreal, QC, Canada

Full-time

Apply 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 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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