04 Aug
|
Connor, Clark u0026 Lunn Financial Group (CCu0026L)
|
Vancouver
04 Aug
Connor, Clark u0026 Lunn Financial Group (CCu0026L)
Vancouver
Interested in joining one of Canada’s top-performing asset managers? AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark & Lunn Financial Group and our affiliate teams use in day-to-day work. production-ready AI assistants, agents, and workflow automations.
You own build quality, reliability, safety, traceability, and maintainability, and partner closely with Data Engineering and MLOps to ship responsibly in a regulated financial services environment. We operate on a hybrid model with three days a week in-office to facilitate team collaboration. Build AI assistants and agents end-to-end from a signed-off spec, retrieval, tool integrations, prompt logic, source citation, and workflow integration Design and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimization Engineer prompts with discipline, write, test, evaluate, and iterate; Own code quality and handoff, version artifacts, write tests where appropriate, and maintain clean, reviewable documentation Partner with Data Engineering to make data retrieval-ready, define ingestion needs, document assumptions, and validate data quality impacts Deploy through standard MLOps pipelines, monitoring/alerting, rollback readiness, cost controls,
and operational runbooks Document known limitations, risks, and mitigations before UAT, set expectations and prevent surprises for business stakeholders Solid Python skills with experience shipping LLM applications end-to-end (build, test, deploy, and operate) Hands‑on RAG experience, document processing, vector databases/search, and retrieval evaluation (precision/recall, grounding quality) Experience on enterprise AI platforms (e.g., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offs Prompt engineering fundamentals, structured prompting, output constraints, adversarial/failure‑mode testing, and reproducibility Comfort working with semi‑structured/unstructured data (PDFs, financial docs, emails, notes) and translating it into retrieval‑ready assets Delivery mindset and strong written communication, hold scope, write clear technical documentation, and finish to production-quality In addition, there is an annual performance bonus which contributes to the total compensation for this position.
All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age. #
📌 AI Solution Engineer (Vancouver)
🏢 Connor, Clark u0026 Lunn Financial Group (CCu0026L)
📍 Vancouver