Posted last month
AI Solutions Engineer
@ Urban Ridge Supplies
Toronto, Ontario
Overview
Connor, Clark & Lunn Financial Group is hiring an AI Solution Engineer in its AI Solutions engineering team to build AI assistants, agents and workflow automations used by the firm and its affiliates. The role turns signed-off specifications into production-ready systems and covers retrieval pipelines, deployment and documentation in a regulated financial environment. The posting states a hybrid model with three days per week in the office and a base salary of $125,000 to $145,000 plus an annual performance bonus.
Responsibilities:
- Build AI assistants and agents end-to-end from signed-off specs
- Design and maintain retrieval pipelines and indexing
- Engineer, test and iterate prompts with documented failure modes
- Deploy through MLOps pipelines with monitoring and rollback readiness
- Partner with Data Engineering on retrieval-ready data
Requirements summary:
- Strong Python skills and LLM application experience
- Hands-on RAG, vector search and retrieval evaluation
- Experience with agent frameworks such as LangChain or LlamaIndex
- Experience on enterprise AI platforms such as Azure OpenAI or Vertex AI
- Prompt engineering fundamentals and adversarial testing
- Strong written communication and delivery mindset
Tools & skills
Source and dates
Employer career site / ATS feed · teamtailor
- Employer posting date
- 2026-09-24
- First seen by our source
- 2026-10-11
- Source record updated
- 2026-10-30
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Encouraged to apply | People with disabilities |
| Perks mentioned | Performance bonus |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Urban Ridge Supplies
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Supplying high-quality pipes for residential, commercial, and industrial needs.
Full company description
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
- LinkedIn followers
- 14,005
- Reported office locations
- Sheikh Mohammed bin Rashid Boulevard 1, Zabeel, Dubai, AE
- Other recorded names
- Urban Ridge Supplies
- Profile identifies a recruitment agency
- No
Supplying high-quality pipes for residential, commercial, and industrial needs across Karachi. Fast delivery. Trusted quality.
| Field | Value |
|---|---|
| Industry | Wholesale Building Materials |
| Company size | 2-10 employees |
| Headquarters | Zabeel, Dubai |
| Organization type | Privately Held |
| Open jobs on Jobsy | 124 |
| View page |
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
- 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.
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.
Job Id: z/gU2UW5CP8i9Pe0+u8GDSrAAQY2qKPQz1iZtofgHGy8cjA3lpHwfw0tiXX/xxE8fpZNq8sFXmttS0gPakN2qe+9UXDxXMI+Gg==
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