Senior AI developer enhancing Quest’s on - premises enterprise software with C#/.NET, C++, and AI coding agents. Championing secure agentic workflows, testing, and developer productivity across Agile teams.
About the role
- Lead Full-Stack GenAI Engineer building secure enterprise AI applications for Vancity, Canada’s member-owned credit union. Delivering Python, RAG, agentic AI, React, and Azure solutions.
Responsibilities
- Lead end-to-end delivery of secure Generative AI and agentic AI solutions from discovery and prototyping through production deployment, stabilization, and ongoing support
- Translate ambiguous business needs into measurable requirements, technical designs, thin vertical slices, and scalable solutions
- Build production-grade Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
- Develop secure, accessible React and TypeScript applications supporting complete enterprise AI workflows
- Integrate AI services with enterprise data, APIs, systems of record, workflow platforms, identity, and approved tools or connectors
- Implement secure CI/CD pipelines, infrastructure as code, observability, controlled release management, rollback, and production-support practices
- Establish evaluation frameworks, representative test datasets, automated tests, engineering quality gates, and operational monitoring
- Embed privacy, governance, security, risk management, and Responsible AI controls into solutions
- Create reusable libraries, SDKs, templates, connectors, UI components, project structures, and delivery patterns
- Provide code-level leadership through mentoring, technical design guidance, code reviews, and hands-on troubleshooting
- Diagnose and resolve failures across models, retrieval, agents, tools, data, APIs, user interfaces, identity, infrastructure, and downstream systems
- Coordinate cross-functional dependencies and support operational readiness, knowledge transfer, and sustainable handover
- Collaborate with business, technology, data, and AI teams to deliver measurable value
- Report directly to the Senior Manager, Generative and Cognitive AI
Requirements
- Bachelor’s degree in computer science, Software Engineering, Data Science, Information Technology, or a related discipline, or an equivalent combination of education and relevant experience
- Minimum 8 years of progressive experience in software engineering, full-stack development, machine learning engineering, or AI solution delivery
- Deep, recent hands-on experience building, integrating, deploying, and supporting production GenAI, RAG, agentic AI, or intelligent automation systems
- Advanced experience building production-grade Python applications, APIs, asynchronous services, and distributed systems
- Strong software design, testing, and debugging skills
- Strong experience developing secure, accessible modern front-end applications using React, TypeScript, and related frameworks
- Hands-on experience with Azure cloud technologies, Azure OpenAI, Azure AI Search, Microsoft Foundry, Databricks, or comparable AI platforms
- Experience designing and implementing RAG pipelines, context engineering, structured generation, agentic workflows, secure tool integrations, and enterprise AI solutions
- Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage, and reliable batch or event-driven pipelines
- Experience integrating AI services with enterprise data, APIs, application systems, and workflow platforms
- Strong knowledge of DevOps, CI/CD, infrastructure as code, containers, identity, observability, application monitoring, resilience, and controlled release practices
- Experience designing repeatable evaluation and regression methods for AI quality, safety, task success, and operational performance
- Experience leading technical delivery while remaining a substantial hands-on contributor, providing mentorship, and establishing engineering standards and best practices
- Knowledge of secure coding, Responsible AI principles, privacy controls, data governance, and risk requirements in an enterprise environment
- Ability to work directly with business users, domain experts, engineers, data and infrastructure teams, architecture, and control functions
- Clear written and verbal communication
- Additional assets include experience with Large Language Models, agent frameworks, intelligent document processing, multimodal AI, Microsoft Foundry, Azure OpenAI, Azure AI Search, MLflow, Unity Catalog, Databricks AI, enterprise API management, event-driven integration, workflow automation, MCP-based tools, GenAIOps, LLMOps, AgentOps, MLOps, containers, Kubernetes, cloud-native architectures, platform engineering, regulated industries, sensitive information, and relevant certifications
Benefits
- Annual incentive program eligibility
- Customizable flexible benefit packages for permanent employees
- 3–4 weeks of vacation per year for new employees, with additional days earned over time
- 2 extra statutory holidays beyond BC’s 11 statutory holidays
- Care days for personal or family illness
- Health and dental benefits from the hire date
- Three levels of health and dental coverage
- Defined benefit pension providing guaranteed income for life
- Vancity Talent Programs offering career development opportunities, prioritized job screening, and feedback for candidates who self-identify as Indigenous, Black, or Trans
- Inclusive, barrier-free, and accessible recruitment experience
- Recruitment accommodations and support where required
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