Lead Full-Stack GenAI Engineer

Description

Our Story &

Purpose:

We’re Vancity, a member-owned credit union built on the principles of inclusion and social justice. Since 1946, our relentless commitment to these values has helped us challenge the status quo and break down barriers. We’ve made bold commitments to become net-zero by 2040 across all mortgages and loans, and we’re actively pursuing strategies in Indigenous banking and financial resilience for our members.

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 Type Script 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…