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Lead AI Developer
Export Development Canada | Exportation et développement Canada. Design, develop, and operate an agentic operating system for the software development lifecycle .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing agentic operating systems and workflows for the software development lifecycle, with a strong focus on AI-assisted development, cloud architecture, and secure access control. Proficient in creating engineering resources and integrating modern development practices to enhance productivity and compliance.
Highest-signal resume keywords
AI-Assisted DevelopmentCloud ArchitectureMicroservicesAngularGitHub
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringAPIsIntegration PatternsRESTJSONOAuth 2.0OpenID ConnectEnterprise Integration FrameworksTestingDeployment
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
GitHub CopilotAzure DevOpsGitHub EnterpriseAzure AI FoundryCI/CD PipelinesEngineering Telemetry
Certifications & Qualifications
Microsoft AI CertificationAzure Certification
Industry Keywords
Enterprise Application ArchitectureGovernanceRisk ManagementPrivacy ComplianceSecurity Controls
Tech Stack
Tools & technologiesAngularAzureFluxJavaScriptMicroservicesReactSOAPTypeScript.NET
About the role
Key responsibilities & impact- Design, develop, and operate an agentic operating system for the software development lifecycle
- Design agentic workflows to automate requirements definition, scaffolding, testing, code analysis, and structured validation
- Integrate AI-assisted development with GitHub Copilot, Azure DevOps, GitHub Enterprise, and Azure AI Foundry
- Define the target state with analysts, architects, developers, testers, and deployment leads
- Identify execution effort, bottlenecks, rework, and high-value agent use cases
- Design specialized agents, delegation patterns, approved tools, human approval checkpoints, and context and state management mechanisms
- Establish secure retrieval of tasks, source repositories, design documents, and meeting records using identity-based access control
- Integrate version control, work tracking, CI/CD pipelines, testing platforms, and telemetry services
- Create reference implementations, repository standards, reusable templates, integration guidelines, and engineering conventions
- Collaborate with teams to accelerate adoption of modern AI-assisted development at EDC
Requirements
What you’ll need- Bachelor’s degree in a related field, such as computer science or computer engineering
- At least 7 years of hands-on experience in software engineering and implementing production systems at an enterprise scale
- Experience with web applications, APIs, microservices, integrations, and cloud-based solutions
- Strong discipline in programming, testing, and deployment
- Proficiency with Angular, React, JavaScript/TypeScript, .NET, APIs, microservices, integration patterns, and cloud architectures
- Experience with GitHub, pull requests, code reviews, branching strategies, repository governance, automation, and engineering telemetry
- Experience designing, developing, and integrating AI-assisted development experiences, AI agents, copilots, or agentic capabilities
- Experience with cloud architecture, identity management, networking, platform engineering, and security controls
- Ability to comply with governance, risk, privacy, and regulatory requirements
- Experience creating engineering resources, frameworks, standards, reference implementations, templates, and reusable patterns
- Experience with retrieval-augmented generation solutions, enterprise knowledge grounding, semantic search, and secure retrieval with access control
- Experience with enterprise application architecture, distributed systems, microservices, API-driven design, and event-driven integrations
- 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 meet government security requirements
- Preference will be given to candidates legally authorized to work in Canada at the time of application
- Microsoft AI and Azure certifications are an asset
- Fluency in English and French is an asset
Benefits
Comp & perks- Performance-based compensation
- Competitive compensation and benefits package
- Various hybrid work options
- Three to four weeks of vacation
- Holiday shutdown period
- Shorter summer Fridays
- Meeting-free Fridays
- Continuous learning opportunities
- Training programs
- Workshops
- Language training
- Diverse and inclusive workplace
- Wellness initiatives
- Mental health support
- Fitness programs
- Volunteer activities
- Social responsibility programs
- Relocation assistance available to eligible candidates