AI Solutions Engineer

Connor, Clark & Lunn Financial Group (CC&L); Toronto; Hybrid; CAD 125,000 - 145,000; Full time

Job summary

Connor, Clark & Lunn Financial Group (CC&L) is hiring an AI Solution Engineer in Toronto, Ontario. In this role, you'll build AI systems used daily, turning specifications into production-ready solutions. Responsibilities include developing AI assistants, maintaining data retrieval systems, and collaborating across teams. Candidates should have strong Python skills and experience with AI solutions, including enterprise platforms like Azure and Google. The salary ranges from $125,000 to $145,000 with an annual bonus. CC&L values diversity and inclusivity in the workplace.

Qualifications

• Experience shipping LLM applications end-to-end.
• Familiarity with document processing and vector databases.
• Knowledge of multi-step orchestration.

Responsibilities

• Build AI assistants and agents from signed-off specs.
• Design and maintain retrieval pipelines.
• Collaborate with teams during builds and demos.

Skills

Strong Python skills

Hands-on RAG experience

Experience with agent frameworks

Experience on enterprise AI platforms

Prompt engineering fundamentals

Comfort with semi-structured data

Delivery mindset and strong communication

Job description

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 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
• 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.

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 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.