Senior AI Developer building agentic SDLC systems for Export Development Canada. Integrating AI, cloud, and full-stack engineering into secure enterprise software delivery.
Responsibilities
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
Conduct substantial consultation and architecture work initially, followed predominantly by hands-on implementation
Requirements
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
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