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Sr AI Engineer
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- Full-time
…translating business opportunities into production-ready AI solutions and reusable AI capabilities, while raising the engineering bar through code review and mentorship of junior AI…
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Capital Automotive Group

AI & Data Systems Specialist

Regina, SK, Canada
Ford Regina New, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 5, 2026

Original job description

Company:

Capital Automotive Group Inc./ DBA Capital Automall

Capital Automotive Group operates franchised dealerships across Saskatchewan, Alberta, Manitoba and California. We have started building our own AI systems, and each one is built to written standards: tested before it goes live, read-only unless a person approves an action, and run in Canada wherever possible.

This is our first dedicated AI role, and we’re being honest about what that means. You won’t join a large data team. You’ll join our IT department and work closely with our AI Committee. You’ll take over the day-to-day running of these systems, build new ones the same careful way, and become the person who keeps our company’s information organized and usable in Google Workspace.

If you want real ownership of real systems early in your career, and you care as much about doing it safely as doing it fast, this role is for you.

What you’ll do

Keep our AI systems running (about half your time)

Monitor and maintain live and in-development systems built on Google Cloud: Cloud Run services and jobs, Cloud Scheduler, Cloud Storage, BigQuery, and Google’s AI search and Gemini services.
Run each system’s test set on schedule, investigate failures, and report results honestly, including the bad ones.
Manage model updates and retirements, and keep costs inside agreed limits.
Work with IT on credentials and access: rotation, least privilege, and immediate revocation when something looks wrong.
Keep documentation and the decision record current, so anyone can see what was built and why.

Build new systems, the governed way (about half your time)

Build new AI agents and data pipelines from our project registry, in Python and SQL, with all code and AI instructions version-controlled in GitHub and every change made through reviewed pull requests.
Write the test cases before building, and take each system through a formal sign-off before it’s called deployed.
Work with department owners (HR, Marketing, Finance, Service and others) to turn their questions into specifications and their examples into tests.

Organize how we store and find information

Own the structure of our Google Drive: shared drives versus personal drives, folder structures, and naming conventions.
Keep that structure consistent with our master list of companies and dealerships, so both people and AI systems can find the right document.
Audit, propose and carry out clean-ups, working with IT on any administrative changes.

Turn data into answers

Build reports and dashboards in Looker Studio and BigQuery for our executive team and General Managers.
Answer data questions in plain language, and say clearly when the data can’t support an answer.

How we work - and what we expect of you

Transparency. Everything you build lives in our repository and our records. No side projects on personal accounts, no shortcuts around review, and you speak up when something, or someone, is pushing in the wrong direction.
Data stays where it belongs. Our systems run in Canadian data centers wherever possible, and every exception is decided and recorded. Customer and employee information is protected to the strictest standard that applies.
People decide; AI assists. Our systems produce evidence and drafts. A person approves anything that spends money, sends a message or changes a record.
“I don’t know” is a good answer. We’d rather a system, or a person, say it isn’t sure than guess.

You’ll complete a structured onboarding on our AI governance, data sovereignty and security standards in your first weeks.

What you bring

Required

A degree or diploma in computer science, engineering, data science or a related field, or equivalent self-taught experience we can see in your work.
Solid Python and SQL, with projects you can show us and talk through: work, school or personal.
Hands-on experience with at least one cloud platform; Google Cloud preferred.
Comfort with Git and GitHub-based workflows.
Practical experience building something with large language models or data pipelines, and an understanding of where they fail.
Clear writing and the ability to explain technical work to people who aren’t technical.
Good judgement with sensitive data, and the candor to raise problems early.

Nice to have

BigQuery, Cloud Run and Looker Studio.
Building retrieval-augmented (“RAG”) systems or evaluating AI output.
Google Workspace administration, especially Drive and shared-drive management.
Familiarity with Canadian privacy law (PIPEDA, Alberta PIPA) or California’s CCPA.

We are open to candidates from recent graduates through to those with several years’ experience. Pay will reflect experience.

What’s in it for you (the Capital Advantage)

We’re one of Canada’s Best Managed Companies for a reason!

Financial stability: Competitive pay plans that are reviewed regularly.
True work/life balance: Paid flex time and predictable scheduling so you can actually enjoy your time off.
Health & wellness: Comprehensive medical and dental benefits, Short-Term and Long-Term Disability, a Health Spending Account, plus an Employee Family Assistance Program.
Incredible perks: Employee discounts on vehicle purchases, parts and servicing, corporate cell phone plan rates, years-of-service recognition gifts, and more!
Investment in your future: Optional RRSP deductions - because long-term matters, too.
Career velocity: We prioritize promoting from within. You’ll get ongoing training and opportunities to grow your career across our Western Canadian network.
Family first: A maternity leave top-up program and paid bereavement time so you can prioritize what matters most.

How to apply

Submit your resume through our career portal.

#INDHP

At Capital Automotive Group, our vision is to be the most respected auto group in North America. In keeping with our mission, we strive to move customers’ lives forward with the best in automotive solutions, service and people. Through demonstrating our core values of respect, transparency, care, excellence, and innovation, we stand out from the rest and create a growth-driven organization.

Capital Automotive Group, founded in 1974, has expanded and continues to grow significantly. Our team consists of service technicians, product specialists and support staff from each location.

Capital Automotive Group believes in providing an inclusive workplace where all individuals have the opportunity to succeed. We are committed to doing so by providing accessible employment practices. Requests for accommodation due to a disability can be made at any stage of the recruitment process.

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More about this job

Responsibilities

You will manage and maintain existing AI systems and data pipelines while building new ones using Python and SQL. Additionally, you will organize Google Drive structures and create data reports in Looker Studio for executive leadership.

Requirements

Candidates should have a degree or diploma in computer science, engineering, or data science, or equivalent self-taught experience. Proficiency in Python, SQL, and cloud platforms like Google Cloud is required, along with strong communication skills.

Skills

Python
SQL
Google Cloud
Git
GitHub
BigQuery
Cloud Run
Looker Studio
Data pipelines
AI governance
Data sovereignty
Google Workspace
RAG systems
Technical documentation
Data analysis

Benefits

Medical benefits
Dental benefits
Short-term disability
Long-term disability
Health spending account
Employee family assistance program
Employee discounts
Years-of-service recognition gifts
RRSP deductions
Paid flex time
Maternity leave top-up
Paid bereavement time

Visa sponsorship

Not detected in the job text

Keywords

AI
Data Systems
Python
SQL
Google Cloud
Cloud Run
Cloud Scheduler
Cloud Storage
BigQuery
Gemini
Git
GitHub
Looker Studio
Google Workspace
RAG
Data Pipelines
AI Governance
Data Sovereignty
PIPEDA
CCPA
Automation
Data Analysis
Reporting
Dashboarding
IT Department

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