AI Solutions Architect — Finance Data & AI (Montreal)

TS Imagine; Montreal (administrative region); On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited vacation

3 personal days

Annual bonus

Training budget $1,500

RRSP matching (3%)

Health insurance

Subsidized public transportation

Global team with 10 offices

Job summary

TS Imagine is seeking an AI Solutions Developer to design data models and pipelines powering the TSIQ analytics platform in Montreal. You will build semantic models so AI agents can reason over trading, risk, and prime brokerage data with precision.

You will iterate on AI agents using prompt and context engineering, implement guardrails, and deliver rapid analytics via Streamlit. Join a global, fast-paced team; on-site role in Montreal four days a week, with flexibility for one remote day.

Qualifications

• Strong SQL skills and hands-on experience with Snowflake.
• Proficiency in Python, including production-grade codebases—not just notebooks.
• Experience designing data models and building data pipelines, including transformation frameworks such as dbt.
• Semantic modeling experience—defining metrics, dimensions, and business logic that downstream consumers depend on.
• Practical prompt engineering and context engineering skills, with a focus on making AI outputs reliable and repeatable.
• Experience building AI agents and implementing guardrails to govern their behavior (a strong plus).
• Streamlit or comparable experience building lightweight data applications.
• Business analysis skills—requirements gathering, stakeholder engagement, and documentation.
• Exceptional communication skills. This role sits between business stakeholders and the platform, so clear written and verbal communication is essential.
• Capital markets or financial services domain experience. This is extremely important to us—understanding trading, risk, or prime brokerage workflows will set you apart.

Responsibilities

• Design and build the data models and pipelines that power TSIQ.
• Develop semantic models so that AI agents reason over trading, risk, and prime brokerage data with precision and consistency.
• Build, test, and iterate on AI agents using prompt engineering and context engineering.
• Implement guardrails, evaluation, and governance controls that keep AI agents accurate, safe, and auditable.
• Deliver analytics and rapid prototypes in Streamlit to put capabilities in front of users early.
• Perform business analysis—gather requirements from stakeholders, translate them into technical designs, and validate that what we ship answers the real question.
• Collaborate with a global team of developers in a fast-paced, innovative setting.

Skills

SQL

Python

Semantic modeling

Prompt engineering

Context engineering

Streamlit

Business analysis

Communication

Capital markets domain

Tools

Snowflake

dbt

Job description

TS Imagine is seeking an AI Solutions Developer to design data models and pipelines powering the TSIQ analytics platform in Montreal. You will build semantic models so AI agents can reason over trading, risk, and prime brokerage data with precision.

You will iterate on AI agents using prompt and context engineering, implement guardrails, and deliver rapid analytics via Streamlit. Join a global, fast-paced team; on-site role in Montreal four days a week, with flexibility for one remote day.