AI Solutions Engineer

Connor, Clark & Lunn Financial Group Ltd.; Vancouver; On-site; CAD 125,000 - 145,000; Full time

Benefits offered by this job

Annual bonus

Hybrid work model

Competitive salary

Job summary

Connor, Clark & Lunn Financial Group Ltd. is hiring an AI Solution Engineer to join the AI Solutions engineering team in a hybrid model with three in-office days per week.

You will translate signed-off specifications into production-ready AI assistants, agents, and workflow automations, partnering with Data Engineering and MLOps to ship responsibly in a regulated financial services environment. This role emphasizes quality and maintainability.

Qualifications

• Strong Python skills with experience shipping LL M apps end-to-end.
• Hands-on RAG, document processing, vector stores, and retrieval evaluation.
• Experience with agent frameworks (LangChain, LlamaIndex).
• Experience with enterprise AI platforms (Azure OpenAI, Vertex AI).
• Prompt engineering fundamentals and reproducibility.
• Comfort working with semi-structured data (PDFs, financial docs).
• Clear technical documentation and production-quality delivery.

Responsibilities

• Build AI assistants and agents end-to-end from signed-off specs to production-ready assets.
• Design and maintain retrieval pipelines, chunking strategy, metadata schema, indexing, access controls, and query optimization.
• Engineer prompts, write tests, evaluate, and document failure modes.
• Own code quality, versioning, tests, and clean documentation.
• Partner with Data Engineering to ensure data retrieval readiness and quality impact validation.
• Deploy through standard MLOps pipelines with monitoring, rollback readiness and runbooks.
• Collaborate with affiliate teams, demonstrate increments, and capture feedback without scope creep.
• Document known limitations, risks, and mitigations before UAT.

Skills

Python

LLM apps

RAG

LangChain

MLOps

Data provenance

Tools

Azure OpenAI

Vertex AI

OpenAI API

LlamaIndex

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 hybridmodel withthree 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.

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.