Senior AI Developer

Export Development Canada | Exportation et développement Canada

. Design, build, and operate an Agentic SDLC Operating System .

Posted 10/8/2026full-timeOttawa • CanadaSenior💰 CA$96,557 - CA$128,743 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing AI-assisted development workflows, integrating cloud-native solutions, and managing enterprise-scale production systems. Proficient in full-stack software engineering with a focus on microservices, APIs, and secure application architectures.

Highest-signal resume keywords

Full-Stack Software EngineeringAI-Enabled Developer ExperiencesCloud Architecture and Security ControlsMicroservices and API-First DesignEnterprise Governance and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AngularReactJavaScriptTypeScript.NETRESTJSONSOAPOpenAPIOAuth 2.0

Tools & Technologies

GitHubAzure DevOpsGitHub EnterpriseAzure FoundryCI/CD PipelinesEngineering Telemetry

Certifications & Qualifications

Microsoft AI CertificationAzure Certification

Industry Keywords

Enterprise Application ArchitectureDistributed SystemsEvent-Driven Integration PatternsSecure Application AuthenticationBilingual English and French

Tech Stack

Tools & technologies

AngularAzureCloudDistributed SystemsJavaScriptMicroservicesReactSDLCSOAPTypeScript.NET

About the role

Key responsibilities & impact

Design, build, and operate an Agentic SDLC Operating System
Design agent-driven workflows for requirements gathering, scaffolding, test execution, code analysis, and structured validation
Embed AI-assisted development into delivery workflows using GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure Foundry capabilities
Partner with analysts, architects, developers, testers, and release leads to identify delivery effort, bottlenecks, and rework
Prioritize high-value agent use cases and identify activities that should not be automated
Design single-purpose agents, delegation patterns, approved and restricted tools, human approval points, and controlled context and state management
Implement secure retrieval across authorized work items, source repositories, design records, and meeting records
Implement integrations with source control, work tracking, CI/CD pipelines, testing platforms, and telemetry services
Create reference implementations, repository standards, reusable templates, onboarding guidance, and engineering conventions
Conduct substantial consultation and architecture work initially, followed predominantly by hands-on implementation

Requirements

What you’ll need

Bachelor’s degree in a related field such as Computer Science, Engineering or relevant field
Minimum of 7 years of hands-on full-stack software engineering experience delivering enterprise-scale production systems
Experience with web applications, APIs, microservices, integrations, cloud-native solutions, coding, testing, and release discipline
Strong expertise in Angular, React, JavaScript/TypeScript, .NET, APIs, microservices, integration patterns, and cloud-native architectures
Experience using GitHub and modern developer platforms, including pull request workflows, code reviews, branching strategies, repository governance, automation, and engineering telemetry
Experience designing, building, and integrating AI-enabled developer experiences, AI agents, copilots, or Agentic SDLC capabilities
Strong experience with cloud architecture, identity, networking, platform engineering, and security controls
Knowledge of enterprise governance, risk, privacy, and compliance requirements
Experience creating reusable engineering assets, frameworks, standards, reference implementations, templates, and accelerator patterns
Experience building retrieval-augmented (RAG) solutions, enterprise knowledge grounding, semantic search, and secure access-controlled retrieval patterns
Experience in enterprise application architecture, distributed systems, microservices, API-first design, and event-driven integration patterns
Advanced knowledge of REST, JSON, SOAP, OpenAPI, and enterprise integration frameworks
Advanced knowledge of OAuth 2.0, OpenID Connect, Entra ID/Azure AD, workload identities, and secure application authentication
Candidates must be able to work legally in Canada at the time of application or meet the stated eligibility preference
Candidates must meet requisite government security screening requirements
Microsoft AI and Azure certifications are an asset
Bilingual English and French is an asset

Benefits

Comp & perks

Performance-based incentive
Comprehensive compensation and benefits package
3 to 4 weeks paid vacation
Corporate closure period
Summer early Fridays
No-meeting Fridays
Hybrid work options
Continuous learning opportunities
Training programs and workshops
Language training
Wellness initiatives
Mental health support
Fitness programs
Volunteer opportunities
Relocation assistance for eligible candidates