Lead/Senior Generative AI Engineer Job Vancouver area,BC Canada,IT/Tech

Position: Lead / Senior Generative AI Engineer

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.

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’re proud to be consistently recognized as one of the country’s Top Employers. If you’re ready to join our team of 2,300 diverse individuals, access competitive rewards and benefits, and be part of a greater movement - apply today!

Your Role in Supporting Our Members:

We 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 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,
Director of Artificial Intelligence (AI) Centre of Excellence
.

Our head office is based in Vancouver, but we are open to candidates in BC and Ontario. While this position is for an existing vacancy and provides a hybrid work arrangement, you will be expected to be on-site for events and business demands when needed.

How You'll Make an Impact:

Build & Deliver GenAI Solutions

Building end to end LLM workflows, from data ingestion and retrieval through inference and response orchestration

Designing and implementing agentic AI pipelines that support decisioning, verification, and cognitive automation

Developing GenAI use cases including:
- Documenting intelligence and verification
- Communication mining and NLP
- Knowledge retrieval and reasoning (RAG)
- Agent based decision orchestration

Tune and optimize LLM usage (prompting strategies, embeddings, retrieval quality, latency, and cost)

RAG, NLP & Classic ML Techniques

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

Cloud, Pipelines & Deployment

Build and deploy GenAI solutions on cloud (i.e. 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

Integration & Collaboration

Integrate GenAI services with RPA workflows (UiPath) and existing ML pipelines

Work closely with:
- GenAI & Agentic AI Lead
- AI Engineers and Full Stack AI Developers
- Cognitive UX / Prompt Engineers

Participating in agile delivery rituals (stand-ups, planning, demos) and contribute to shared engineering standards

What You’ll Bring to the Team:

4–7 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…

Lead​/Senior Generative AI Engineer

Lead/Senior Generative AI Engineer