Our Story & PurposeWe are 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 are actively pursuing strategies in Indigenous banking and financial resilience for our members. We are committed to being a pioneer in Ethical AI. We design and deploy AI systems responsibly, grounded in fairness, transparency, privacy, and human‑centered values to ensure technology benefits our members, communities, and society at large.As the largest private‑sector Living Wage Employer in Canada, we are proud to be consistently recognized as one of the country’s top employers.Role OverviewWe 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 highly hands‑on role is 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. Success is measured by production‑ready GenAI systems, not slideware or experimentation alone.ResponsibilitiesBuild and deliver end‑to‑end LLM workflows, from data ingestion and retrieval through inference and response orchestration.Design and implement agentic AI pipelines that support decisioning, verification, and cognitive automation.Develop GenAI use cases including document intelligence and verification, communication mining and NLP, and knowledge retrieval and reasoning.Tune and optimize LLM usage (prompting strategies, embeddings, retrieval quality, latency, and cost).Design and implement Retrieval Augmented Generation (RAG) pipelines, including indexing, chunking, embeddings,



and retrieval strategies.Apply classic ML and NLP techniques where appropriate to improve accuracy, classification, extraction, or ranking.Collaborate with Data Science and ML Engineering partners to integrate predictive models into GenAI workflows.Build and deploy GenAI solutions on cloud (Azure and Databricks), following cloud‑native best practices.Implement 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 practices.Partner with platform and cloud teams to ensure solutions are scalable, secure, and production‑ready.Integrate GenAI services with RPA workflows (UiPath) and existing ML pipelines.Participate in agile delivery rituals (stand‑ups, planning, demos) and contribute to shared engineering standards.Qualifications47 years of experience in software engineering, AI engineering, or ML adjacent engineering roles.Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.Strong 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 workflows.Proven ability to take solutions from prototype to production.Excellent Python and SQL skills (production‑quality code, data pipelines, APIs).Robust understanding of LLM workflows and orchestration, prompt engineering and retrieval strategies, API design and service integration,



CI/CD concepts and cloud deployment patterns.Experience with agent frameworks or tool‑calling architectures.Additional Skills That Set You ApartExperience with Azure AI services (Azure OpenAI, Azure ML concepts).Experience with Databricks for data processing, ML, or GenAI workflows.Familiarity with document intelligence, OCR, NLP, or communication mining.Exposure to MLOps / GenAI‑Ops concepts (model lifecycle, monitoring, evaluation).Experience integrating AI services into RPA or automation platforms (UiPath, Power Automate).Familiarity with other cloud ecosystems (AWS or GCP).Traits & ValuesHands‑on Automation Builder: Enjoy writing, testing, and deploying automations that work reliably in real production environments.Technically Curious: Interested in how RPA can be enhanced with AI, Agentic workflows, and cloud services to solve more complex problems.Collaborative: Work well with architects, AI engineers, and business partners, valuing shared standards and reusable solutions.Quality Driven: Care about robustness, error handling, and maintainability, not just getting something to work once.Benefits & CompensationSalary range: $125,000 – $154,350 per annum.Annual incentive program subject to program eligibility requirements.Living Wage Employer – the largest private‑sector Living Wage Employer in Canada.Customizable benefits with versatile benefit packages for permanent employees.Generous vacation: 3‑4 weeks per year with additional days earned overtime.Extra statutory holidays: 2 additional days plus care days for personal or family illness.Immediate health coverage on hire date with three levels of coverage.Defined benefit pension with guaranteed income for life.Vancity Talent Programs supporting inclusive hiring for Indigenous, Black, and Trans candidates, with ongoing career development opportunities.Equal Opportunity EmployerWe are committed to creating a welcoming and inclusive workplace. Diversity in our workforce is integral to representing, understanding, and responding to our community needs.#J-18808-Ljbffr

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