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Osedea

Engineering Architect

Osedea

. Work with clients and technical teams to understand software engineering practices and identify opportunities to improve them with agentic engineering .

Posted 10/27/2026full-timeMontreal • CanadaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in software development and architecture, with a strong focus on agentic engineering solutions and the ability to translate complex business challenges into scalable architectural designs. Proficient in both French and English, capable of leading technical discussions and fostering collaboration across multidisciplinary teams.

Highest-signal resume keywords
Agentic Engineering SolutionsSoftware Architecture DesignDistributed SystemsLLM Application DevelopmentCloud Solutions (Azure, AWS, Google Cloud)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentArchitectural JudgmentMulti-Agent CoordinationTool ExecutionContext ManagementEvent-Driven ArchitecturesAPIsEnterprise SecurityAI Systems DesignContinuous Improvement
Soft Skills
Professional CommunicationTechnical LeadershipCollaborationProblem SolvingStakeholder Engagement
Tools & Technologies
LangGraphSemantic KernelAutoGenCrewAIAI Services
Industry Keywords
Agentic ArchitecturesEnterprise SolutionsScalable SystemsPrototypingKnowledge Sharing

Tech Stack

Tools & technologies
AWSAzureCloudDistributed Systems

About the role

Key responsibilities & impact
  • Work with clients and technical teams to understand software engineering practices and identify opportunities to improve them with agentic engineering
  • Define architectures, tools, and approaches for agentic engineering improvements
  • Modernize traditional software engineering best practices into Agentic Engineering standards and protocols
  • Design, develop, and scale Software Factories and other Agentic Engineering systems
  • Translate complex business challenges into pragmatic enterprise solutions
  • Facilitate informed technology decisions as a trusted technical partner
  • Collaborate hands-on with multidisciplinary teams
  • Challenge ideas, review designs, prototype approaches, and solve difficult technical problems
  • Shape and evolve Osedea's engineering practices through experimentation, reusable tools and architectures, and knowledge sharing
  • Evaluate emerging technologies and adapt approaches as the field evolves
  • Design and guide implementation of reliable, secure, and scalable enterprise software using agentic AI architectures
  • Shape architectural strategies, guide technical decisions, coach team members, and establish foundations for production enterprise systems

Requirements

What you’ll need
  • Extensive experience in software development and architecture, typically 10+ years
  • Strong track record designing complex, distributed, or enterprise-scale systems
  • Strong architectural judgment and ability to translate complex business challenges into scalable architectural solutions
  • Hands-on experience designing, building, or deploying agentic engineering solutions
  • Understanding of challenges in moving agentic engineering solutions from prototypes to production
  • Ability to lead technical conversations with senior stakeholders and development teams
  • Ability to explain trade-offs clearly and build confidence in recommendations
  • Professional communication in both French and English
  • Proficiency in agentic architectures, including autonomous and semi-autonomous agents, multi-agent coordination, orchestration, tool execution, planning, memory, and context management
  • Proficiency in LLM application development, including foundation models, RAG, embeddings, structured outputs, tool calling, context engineering, A2A, ACP, and MCP
  • Experience with LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent approaches
  • Strong foundations in distributed systems, APIs, event-driven architectures, integration patterns, authentication, authorization, and enterprise security
  • Experience designing and deploying solutions on Azure, AWS, or Google Cloud, including AI services and infrastructure
  • Experience designing production AI systems for evaluation, observability, failure recovery, human oversight, reliability, latency, cost optimization, and continuous improvement
  • Degree is not required; technical judgment, curiosity, and ability to turn ideas into working systems are emphasized

Benefits

Comp & perks
  • 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