AI Solutions Engineer

Connor, Clark & Lunn Financial Group (CC&L); Montreal (administrative region); Hybrid; CAD 80,000 - 110,000; Full time

Job summary

Connor, Clark & Lunn Financial Group (CC&L) in Montreal is seeking an AI Solution Engineer to develop AI assistants and workflow automations. The role involves strong collaboration with Data Engineering and MLOps, focusing on quality and reliability in a hybrid work model.

The ideal candidate has solid Python skills and experience with LLM applications. CC&L is committed to a diverse and inclusive environment and encourages all qualified applicants to apply.

Qualifications

• Experience shipping LLM applications end-to-end.
• Hands-on experience with document processing and retrieval evaluation.
• Comfort working with semi-structured/unstructured data.

Responsibilities

• Build AI assistants and agents end-to-end from specification.
• Design and maintain retrieval pipelines and query optimization.
• Deploy through standard MLOps pipelines.

Skills

Strong Python skills

RAG experience

Agent frameworks experience

Experience with enterprise AI platforms

Prompt engineering fundamentals

Comfort with semi-structured data

Strong written 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

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.