AI Solutions Engineer

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 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.

What You Will Do

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; document failure modes and edge cases

Own code quality and handoff , version artifacts, write tests wher e appropria te , an d mainta in clean, reviewable documentation

Partner with Data Engineering to make data retrieval-read y, define ingestion needs, document assumptions, and validate data quality impacts

Deploy through standard MLOps pipelines , monitoring/alerting, rollback readiness, cost controls, and operational runbooks

Collaborate with affiliate teams during builds , demo real increments, capture feedback, and incorporate changes without breaking scope

Document known limitations, risks, and mitigations before UAT , set expectations and prevent surprises for business stakeholders

What You Will Bring

Strong 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 flows

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

The 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.

#LI-Hybrid #LI-KC1

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

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [email protected] if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.