Lead Full-Stack GenAI Engineer

Your Role in Supporting Our Members:

As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment, stabilization, and ongoing support. You will build and scale enterprise-grade applications, APIs, RAG pipelines, agent workflows, and modern web applications while helping shape engineering best practices across the AI function. Working closely with business, technology, data, and AI teams, you will transform ambiguous problems into practical solutions that deliver measurable value.

You will remain a substantial hands-on individual contributor, personally writing, reviewing, integrating, deploying, and troubleshooting production code and technical assets. You will also turn recurring delivery needs into secure, reusable engineering capabilities that make future AI solutions faster, safer, and more consistent to implement and operate. We are seeking a highly technical and results-oriented engineer with deep expertise in full-stack development, cloud platforms, AI technologies, and software engineering leadership.

This is a Full-time, Permanent role based at our Vancity head office and will report directly to the Senior Manager, Generative and Cognitive AI. Candidates located in British Columbia will work in a hybrid environment. Candidates located in Ontario may work remotely.

How You'll Make an Impact:

• Leading the end-to-end delivery of secure Generative AI and agentic AI solutions from discovery and prototyping through production deployment, stabilization, and support
• Translating ambiguous business needs into measurable requirements, technical designs, thin vertical slices, and scalable solutions
• Building substantial production-grade code, including Python services, APIs, RAG pipelines, agent workflows, enterprise integrations, and reusable libraries
• Developing secure, accessible React and TypeScript applications that support complete enterprise AI workflows, including human review, evidence, approvals, and exception handling where required
• Integrating AI services with enterprise data, APIs, systems of record, workflow platforms, identity, and approved tools or connectors
• Implementing secure CI/CD pipelines, infrastructure as code, observability, controlled release management, rollback, and production-support practices
• Establishing evaluation frameworks, representative test datasets, automated tests, engineering quality gates, and operational monitoring for quality, safety, latency, reliability, and cost
• Embedding privacy, governance, security, risk management, and Responsible AI controls into delivered solutions
• Creating reusable libraries, SDKs, templates, connectors, UI components, project structures, and delivery patterns from validated recurring needs
• Providing code-level leadership through mentoring, technical design guidance, code reviews, and hands-on troubleshooting
• Diagnosing and resolving failures across models, retrieval, agents, tools, data, APIs, user interfaces, identity, infrastructure, and downstream systems using code, telemetry, and runtime evidence
• Coordinating cross-functional dependencies and supporting operational readiness, knowledge transfer, and sustainable handover of solutions

What You'll Bring to the Team:

• 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 personally 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, with 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, with clear written and verbal communication

Extra Skills That Set You Apart:

• Experience deploying Large Language Models, agent frameworks, and advanced Generative AI applications in enterprise environments
• Experience with intelligent document processing, multimodal AI, high-volume document workflows, or human-in-the-loop reviewer solutions
• Experience with Microsoft Foundry, Azure OpenAI, Azure AI Search, MLflow, Unity Catalog, and Databricks AI capabilities
• Experience with enterprise API management, event-driven integration, workflow automation, and approved MCP-based tools or connectors
• Experience implementing GenAIOps, LLMOps, AgentOps, or MLOps capabilities across multiple environments
• Experience with containerization technologies, Kubernetes, cloud-native architectures, and platform engineering
• Experience working in financial services, another regulated industry, or an environment handling sensitive information
• Relevant certifications in Azure, Databricks, cloud architecture, AI engineering, security, DevOps, or software development disciplines

You'll Thrive Here If You Are:

• Innovative - You enjoy exploring emerging AI technologies and transforming ideas into practical business solutions.
• Technical - You bring deep engineering expertise and are comfortable working across the full technology stack.
• Collaborative - You build strong partnerships across business, data, and technology teams to achieve shared outcomes.
• Results-Oriented - You focus on delivering scalable, maintainable solutions that create measurable value.
• Mentorship-Focused - You enjoy helping others grow through coaching, knowledge sharing, and technical leadership.

We value lived experience, so if you are interested in this role, we encourage you to apply even if you feel your skills don't perfectly align with those listed.

What You'll Earn:

This role offers a salary range of $125,000 to $169,100 per annum. The base pay offered may vary depending on factors such as relevant qualifications, skills, previous experience, and internal equity. As part of our total rewards package, employees may also be eligible for our annual incentive program, subject to program eligibility requirements.

Why You'll Love Working Here:

A career at Vancity is more than just a job, you're joining a tradition of changemakers who are creating lasting change for our communities. Beyond base pay, we offer a comprehensive total rewards package to ensure our employees are empowered to thrive:

• Living Wage Employer: We're the largest private-sector Living Wage Employer in Canada and consistently ranked among Canada's Top Employers
• Customizable Benefits: Permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needs
• Generous Vacation: New employees start with 3-4 weeks of vacation per year, with additional days earned over time
• Extra Stat Holidays: In addition to BC's 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illness
• Immediate Health Coverage: Health and dental benefits begin on your hire date, with three levels of coverage to choose from
• Defined Benefit Pension: Our retirement plan provides a guaranteed income for life, recognizing that retirement looks different for everyone

Vancity Talent Programs:

Vancity supports an inclusive hiring process for candidates who self-identify as Indigenous, Black, or Trans. With special permission from the BC Human Rights Commissioner, this initiative provides access to career development opportunities, prioritized job screening, and feedback. Any information you choose to share will be stored securely and used only for recruitment and career development connected to this initiative, in line with the BC Personal Information Protection Act (PIPA). For details, please see our dedicated Talent Programs job posting.

This role is an open vacancy, and our hiring process is grounded in fairness, transparency, and inclusion. We are committed to an inclusive, barrier-free and accessible recruitment experience for all candidates. If you require any accommodations or support at any stage of the recruitment process, including the application stage, we encourage you to let us know. We're here to work with you to ensure your needs are met promptly and effectively. All requests will be handled with the utmost respect and confidentiality, so you can participate fully in the process.