Senior AI Developer — Experience with Python, Spark/PySpark, Databricks, and AWS

Intact; Montreal; Hybrid; CAD 119,000 - 145,000; Full time

Benefits offered by this job

Hybrid work model

Extra days off option

Wellbeing benefits and telemedicine

Employee Share Purchase Plan

Job summary

Intact is hiring a Senior AI Developer with strong Python, Spark/PySpark, Databricks (Unity Catalog), and AWS experience. The role focuses on building end-to-end data solutions, enabling data scientists to deploy models with minimal rewrites.

You will work across teams, drive MLOps improvements, and help migrate legacy services toward modern, event-driven architectures. The position offers a hybrid work model in Canada, with a salary range of CAD 118,700 to 145,100 and a target annual bonus.

Qualifications

• 5+ years of experience in data / engineering.
• Big data and cloud: Spark/PySpark, Databricks (Unity Catalog, Delta Lake), and AWS (S3, IAM, ECS/EKS, ALB).
• Streaming systems: Kafka, real‑time event processing, schema management.
• Strong coding skills: Python; Java/Spring Boot for backend services.
• Hands‑on MLOps: MLflow, GitLab CI/CD, Docker, Terraform, monitoring tools like Dynatrace.
• Bilingual French/English – interact with colleagues across the country.
• Eligible to work in Canada; no Canadian work experience required is not necessary to state.

Responsibilities

• Build the path from discovery to production; ensure models run cleanly on Databricks batch jobs and Kafka streams.
• Contribute to delivery by turning architecture ideas into sprint work; write and review code.
• Raise the bar on MLOps with testing, versioning, safe deployments, and drift monitoring.
• Be a technical partner to Data Science; evaluate new algorithms and data feeds before production.
• Collaborate across the tribe; share feedback on code and design across engineers.

Skills

Python

Spark/PySpark

Databricks

AWS

Kafka

MLOps

GitLab CI/CD

Docker

Terraform

Team collaboration

Tools

Unity Catalog

Delta Lake

S3

IAM

ECS/EKS

ALB

Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.

Our employee promise represents Intact’s commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

• Flexible work arrangements and a hybrid work model
• Possibility to purchase up to 5 extra days off per year
• Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
• Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

118,700 - 145,100

Annual Bonus Target, Based On The Base Salary, With a Potential Payout Of Up To Double The Target (subject To Personal And Company Performance)

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) – with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35‑hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.

About The Role

We’re looking for a Senior AI Developer — Experience with Python, Spark/PySpark, Databricks (including Unity Catalog), and AWS to join our growing team!

What You’ll Do Here

• Build the path from discovery to production. Make sure data scientists can write a model once (in Python or PySpark) and have it run cleanly on both Databricks batch jobs and real-time Kafka streams. No rewrites, and keep technical debt low.
• Contribute to delivery. Work with the Platform PO and Program Systems Business Analyst to turn architecture ideas into real sprint work. Write and review code, keep quality high, and help migrate legacy services toward modern, event‑driven setups.
• Raise the bar on MLOps. Team up with DevOps and QA on testing, model versioning (MLflow, Unity Catalog), safe deployments, rollback plans, and drift monitoring.
• Be a technical partner to Data Science. Help the team evaluate new algorithms and data feeds (GPS, accelerometer, Mapbox) before they turn into production headaches.
• Collaborate across the tribe. Work alongside engineers at all levels, share feedback on code and design, and contribute to a culture of continuous improvement.
• Support healthy team dynamics. When priorities clash or questions arise, engage early, listen to different perspectives, and help the team land on a way forward.
• Speak everyone's language. Translate technical trade‑offs for business stakeholders, and business priorities for engineers. Adjust your style depending on who's in the room, whether that's a data scientist, an architect, or a director.

What You Bring To The Table

• 5+ years of experience in data / engineering.
• Strong with big data and cloud: Spark/PySpark, Databricks (Unity Catalog, Delta Lake), and AWS (S3, IAM, ECS/EKS, ALB).
• Comfortable with streaming systems: Kafka, real‑time event processing, schema management.
• Strong coding skills: expert in Python, and comfortable enough in Java/Spring Boot to work with our backend services.
• Hands‑on MLOps experience: MLflow, GitLab CI/CD, Docker, Terraform, and monitoring tools like Dynatrace.
• A natural collaborator who can talk data science with the DS team and infrastructure trade‑offs with architects, without missing a beat.
• Strong communication skills: someone who builds trust easily, listens well, and works well with people across disciplines.
• Comfortable giving and receiving direct, constructive feedback with care and respect.
• Able to adapt how you communicate depending on the audience, from hands‑on engineers to senior stakeholders.
• Bilingualism (French / English) – Need to interact on a regular basis with colleagues across the country.
• No Canadian work experience required however must be eligible to work in Canada.

Il s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.

We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity‑deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact’s commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We’ll work with you to meet your needs.

Please note that Intact does not provide sponsorship or other support for immigration‑related matters including but not limited to employer‑specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.