Interested in joining one of Canada's top-performing asset managers? We're hiring an 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. You turn signed-off specifications into production-ready AI assistants, agents, and workflow automations. You own build quality, reliability, safety, traceability, and maintainability, and partner closely with Data Engineering an d MLO ps to ship responsibly in a regulated financial services environment. Weoperateon a hybridmodel withthree days a week in-office tofacilitateteam collaboration.What You Will DoBuild AI assistants and agents end-to-end from a signed-off spec, retrieval, tool integrations, prompt logic, source citation, and workflow integrationDesign and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimizationEngineer prompts with discipline, write, test, evaluate, and iterate; document failure modes and edge casesOwn code quality and handoff, version artifacts, write tests wher e appropri ate, an d mainta in clean, reviewable documentationPartner with Data Engineering to make data retrieval-read y, define ingestion needs, document assumptions, and validate data quality impactsDeploy through standard MLOps pipelines, monitoring/alerting, rollback readiness, cost controls, and operational runbooksCollaborate with affiliate teams during builds, demo real increments, capture feedback, and incorporate changes without breaking scopeDocument known limitations, risks, and mitigations before UAT,



set expectations and prevent surprises for business stakeholdersWhat You Will BringStrong 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 with agent frameworks (e.G., LangChain, LlamaIndex or equivalents), including tool use, orchestration, and multi-step flowsExperience on enterprise AI platforms (e.G., Azure OpenAI, Google Vertex AI, Anthropic APIs), including security and cost/performance trade-offsPrompt engineering fundamentals, structured prompting, output constraints, adversarial/failure-mode testing, and reproducibilityComfort working with semi-structured/unstructured data (PDFs, financial docs, emails, notes) and translating it into retrieval-ready assetsDelivery mindset and strong written communication, hold scope, write clear technical documentation, and finish to production-qualityThe salary range for this position is $ 125,000 - $145,000. The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.For a closer look at how you can build your career with us, we invite you to explore cclgroup.Com .CC&L Financial Group is committed to creating a diverse and inclusive setting and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time. #J-18808-Ljbffr

📌 Ai Solutions Engineer (Toronto)
🏢 Connor, Clark & Lunn Financial Group
📍 Toronto