AI Solutions Engineer

Interested in joining one of Canadas top-performing asset managersWerehiring anAI Solution Engineerin ourAI 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 turnsigned-off specificationsintoproduction-readyAI assistants agents and workflow automations. You own build qualityreliability safety traceability and maintainabilityand partner closely with Data Engineering andMLOpsto ship responsibly in a regulated financial services environment.Weoperateon a hybridmodel withthree days a week in-office tofacilitateteam collaboration.

What You Will Do

• Build AI assistants and agents end-to-end from a signed-off specretrieval tool integrations prompt logic source citation and workflow integration

• Design andmaintainretrieval pipelineschunking strategy metadata schema indexing access controls and query optimization

• Engineer prompts with disciplinewrite test evaluate anditerate;document failure modes and edge cases

• Own code quality and handoffversion artifacts write tests whereappropriate andmaintainclean reviewable documentation

• Partner with Data Engineering to make data retrieval-readydefine ingestion needs document assumptions andvalidatedata quality impacts

• Deploy through standardMLOpspipelinesmonitoring/alerting rollback readiness cost controls and operational runbooks

• Collaborate with affiliate teams during buildsdemo real increments capture feedback and incorporate changes without breaking scope

• Document known limitations risks and mitigations before UATsetexpectationsand prevent surprises for business stakeholders

What You Will Bring

• Strong Python skills with experience shipping LLM applications end-to-end (build test deploy andoperate)

• Hands-on RAG experiencedocument processing vector databases/search and retrieval evaluation (precision/recall grounding quality)

• Experience with agent frameworks (e.g.LangChainLlamaIndexor equivalents) including tool use orchestration and multi-step flows

• Experience on enterprise AI platforms (e.g. Azure OpenAI Google Vertex AI Anthropic APIs) including security and cost/performance trade-offs

• Prompt engineering fundamentalsstructured 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 communicationhold scope write clear technical documentation and finish to production-quality

#LI-Hybrid #LI-KC1

For a closer look at how you can build your career with us we invite you to .

CC&L Financial Group is committed to creating a diverse and inclusive environment 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.