Our Story & PurposeWe’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 MembersWe are seeking a Senior Gen AI Engineer to join our GenAI & Cognitive AI Pod, focused on building production‑ready Generative AI & Agentic AI solutions that support cognitive reasoning, automation, and decisioning.This role is highly hands‑on and best suited for a software engineer who understands AI deeply enough to build, deploy, and operate GenAI systems at scale. You will work closely with GenAI leadership, AI engineers, ML engineers, and RPA teams to design and deliver LLM‑based workflows, agentic pipelines, and GenAI APIs.This is a highly hands‑on engineering role; success is measured by production‑ready GenAI systems, not slideware or experimentation alone.This is a Full‑time, Permanent role based at our Head Office in Vancouver, British Columbia, and reporting to the Director of Artificial Intelligence (AI) Centre of Excellence.Our head office is in Vancouver, but we are open to candidates in BC and Ontario. While this position is a hybrid work arrangement, you will be expected to be on‑site for events and business demands when needed.How You’ll Make an ImpactBuild & Deliver GenAI SolutionsBuild end‑to‑end LLM workflows, from data ingestion and retrieval through inference and response orchestrationDesign and implement agentic AI pipelines that support decisioning, verification, and cognitive automationDevelop GenAI use cases, including:Document intelligence and verificationCommunication mining and NLPKnowledge retrieval and reasoning (RAG)Agent‑based decision orchestrationTune and optimise LLM usage (prompting strategies, embeddings, retrieval quality, latency, and cost)RAG, NLP & Classic ML TechniquesDesign and implement Retrieval Augmented Generation (RAG) pipelines, including indexing, chunking, embeddings, and retrieval strategiesApply classic ML and NLP techniques where appropriate to improve accuracy, classification, extraction, or rankingCollaborate with Data Science and ML Engineering partners to integrate predictive models into GenAI workflowsCloud, Pipelines & DeploymentBuild and deploy GenAI solutions on cloud (Azure and Databricks),



following cloud‑native best practicesImplement API services to expose GenAI capabilities for downstream consumers (including RPA and business applications)Contribute to CI/CD and deployment pipelines for GenAI workloads, including environment management and release practicesPartner with platform and cloud teams to ensure solutions are scalable, secure, and production‑readyIntegration & CollaborationIntegrate GenAI services with RPA workflows (UiPath) and existing ML pipelinesWork closely with:GenAI & Agentic AI LeadAI Engineers and Full‑Stack AI DevelopersCognitive UX / Prompt EngineersParticipate in agile delivery rituals (stand‑ups, planning, demos) and contribute to shared engineering standardsWhat You’ll Bring To The Team4–7 years of experience in software engineering, AI engineering, or ML‑adjacent engineering rolesBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related fieldStrong hands‑on experience building and deploying cloud‑based services, with fluency in cloud (preferably Azure)Practical experience working with Generative AI and LLM concepts, including RAG and agentic workflowsProven ability to take solutions from prototype to productionExcellent Python and SQL skills (production‑quality code, data pipelines, APIs)Robust understanding of:LLM workflows and orchestrationPrompt engineering and retrieval strategiesAPI design and service integrationCI/CD concepts and cloud deployment patternsExperience with agent frameworks or tool‑calling architecturesExtra Skills That Set You ApartExperience with Azure AI services (e.G., Azure OpenAI, Azure ML concepts)Experience with Databricks for data processing, ML, or GenAI workflowsFamiliarity with document intelligence, OCR, NLP, or communication miningExposure to MLOps / GenAIOps concepts (model lifecycle, monitoring, evaluation)Experience integrating AI services into RPA or automation platforms (e.G., UI Path, Power Automate)Familiarity with other cloud ecosystems (AWS or GCP)You’ll Thrive Here If You AreA hands‑on automation builder: you enjoy writing, testing, and deploying automations that work reliably in real production environmentsTechnically curious: you’re interested in how RPA can be enhanced with AI, agentic workflows, and cloud services to solve more complex problemsCollaborative: you work well with architects, AI engineers, and business partners, and you value shared standards and reusable solutionsQuality‑driven: you care about robustness, error handling, and maintainability,



not just getting something to work onceWhat You’ll EarnThis role offers a salary range of $125,000 – $154,350 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 programme eligibility requirements.Why You’ll Love Working HereLiving Wage Employer: We’re the largest private‑sector Living Wage Employer in Canada and consistently ranked among Canada’s Top EmployersCustomisable advantages: permanent employees receive flexible benefit packages that can be tailored annually to meet evolving needsGenerous vacation: new employees start with 3–4 weeks of vacation per year, with additional days earned overtimeExtra statutory holidays: in addition to BC’s 11 statutory holidays, we offer 2 extra days, plus care days for personal or family illnessImmediate health coverage: health and dental benefits begin on your hire date, with three levels of coverage to choose fromDefined benefit pension: our retirement plan provides a guaranteed income for life, recognising that retirement looks different for everyoneVancity Talent ProgramsVancity 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, prioritised 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.At Vancity we’re committed to creating a welcoming and inclusive workplace to help our people and communities thrive and prosper. Diversity in our workforce is integral so that we can truly represent, understand and respond to our community needs and deliver our member experience.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 by contacting our Talent Acquisition team at [email protected]. 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.#J-18808-Ljbffr

📌 Lead / Senior Generative Ai Engineer - C$125,000 - C$154,350 A Year (Winnipeg)
🏢 Vancity
📍 Winnipeg