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Added 23 mins ago
Configuration Specialist
DistillerSR
Ottawa, ON · Kanata, ON
$61,000 to $74,000 CAD / year
Full-time
…leading AI-enabled workflow automation and evidence management platform for streamlining the production of critical literature-based health research. DistillerSR is used by 80% of the top…
Added 23 mins ago
Semantic Model Developer
Synechron
Mississauga, ON
$110,000 to $120,000 USD / year
Full-time
We are seeking a skilled Semantic Model Developer to design, develop, and maintain enterprise semantic models that enable consistent, trusted, and user-friendly data analysis. The role…
Added 23 mins ago
Marketing Intern, Deli Cheese (8 month contract)
Lactalis Canada
Toronto, ON · Etobicoke, ON
Volunteer
Proficient with standard office computer technology including Microsoft Office Suite
Added 23 mins ago
AI Platform Specialist
ArcelorMittal
Ingersoll, ON
$75,000 to $85,000 CAD / year
Full-time
Join Us in Driving a Safer and Greener Tomorrow as an AI Platform Specialist at ArcelorMittal Tailored Blanks!
Added 23 mins ago
Sales Development Representative
L Squared Digital
Toronto, ON · North York, ON
$50,000 to $55,000 CAD / year
Full-time
…communicate with employees, customers, and visitors. Built on Microsoft Azure, our platform delivers enterprise grade security, powerful functionality, and measurable ROI while lowering the…
Added 53 mins ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
Job Title: AI Platform Engineering Specialist
Added 53 mins ago
Manager, CRM and Campaign Systems
Cystic Fibrosis Canada / Fibrose kystique Canada
Toronto, ON · Greater Toronto Area, Canada
$82,240 to $97,660 CAD / year
Full-time
…and continuous improvement of CF Canada’s CRM and campaign platform ecosystem, including Raiser’s Edge, RE NXT, Engaging Networks, Omatic, CrowdChange, and related tools. The role also…
Added 1 hour ago
Regional Sales Manager
Cornerstone Building Brands
Toronto, ON
Full-time
CRM proficiency – Microsoft Dynamics preferred
Added 1 hour ago
Staff Software Engineer
Atlas HXM
Canada
Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in -…
Added 1 hour ago
Manager - Diagnostic Imaging
Ross Memorial Hospital
Kawartha Lakes, ON · Lindsay, ON
Full-time
…key liaison between clinical operations and the shared EPIC platform, championing best practices in digital health across the…
Added 1 hour ago
Business Systems Analyst
CRWS - Canadian Railway Services
Montreal, QC
Full-time
Proficiency with process-mapping and collaboration tools such as Lucidchart, Microsoft Visio, Bizagi, Miro, or an equivalent platform.
Added 1 hour ago
ERP Systems Engineer
Clean Works
St. Catharines, ON
Full-time
…as we implement Fulcrum ERP and transition from our legacy Microsoft Dynamics NAV…
Added 1 hour ago
Systems Administrator
Postmedia Network Inc.
ON
Identify recurring manual work and implement automation using PowerShell, Power Automate, Microsoft Copilot, n8n workflow tools and other appropriate technologies.
Added 1 hour ago
Systems Administrator
Postmedia Network Inc.
ON
Identify recurring manual work and implement automation using PowerShell, Power Automate, Microsoft Copilot, n8n workflow tools and other appropriate technologies.
Added 1 hour ago
Global Kinaxis Solution Architect
Accenture
Toronto, ON · Ottawa, ON
Full-time
…large-scale supply chain transformations by leveraging Kinaxis Platform and industry best…
Added 1 hour ago
Senior Security Specialist - Cloud (Global Security)
RBC
Toronto, ON
Full-time
Work as part of the team assessing and improving the security of our public cloud environments (Amazon Web Services, Microsoft Azure, and Google Cloud Platform).
Added 1 hour ago
Continuous Improvement Manager
SPX Technologies
Mississauga, ON
CUES is part of the SPX Detection and Measurement platform. It is the world’s leading developer of water, wastewater, and storm water inspection equipment. With CCTV cameras, pre-built…
Added 1 hour ago
Delivery Manager
TD
Toronto, ON
Full-time
Added 1 hour ago
Product Manager - Enterprise Payments
TD
Toronto, ON
Full-time
Added 1 hour ago
Customer Experience Associate
TD
Woodstock, ON
Part-time
…with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock…
Added 1 hour ago
Personal Banking Associate Trainee Future Opportunities (Richmond Hill, Newmarket, Aurora, North York and Vaughan)
TD
Aurora, ON · Richmond Hill, ON · Newmarket, ON
Full-time
Added 1 hour ago
Sr. Back-End Java Developer, TD Securities
TD
Toronto, ON
Full-time
…includes working with our industry-leading Desktop Interop platform or helping to scale our Metals, Energy or FX Trade Automation…
Added 1 hour ago
Customer Experience Associate - Hull, Plateau (Part-time, 18.75h/week)
TD
Gatineau, QC
Part-time
…with your manager, as well as access to an online learning platform and a variety of mentoring programs to…
Added 1 hour ago
RPA Platform Admin / Platform Engineer
BMO
Toronto, ON · SCC
Full-time
The RPA Platform Administrator is responsible for the administration, support, monitoring, maintenance, and optimization of UiPath and WorkFusion platforms. The role ensures platform…
Added 1 hour ago
RQ11545 - Business Analyst - Senior
Maarut
Toronto, ON
Contract

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Job type: Contract
Apply by: Oct 28, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Sep 28, 2026

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Original job description

Job Title: AI Platform Engineering Specialist

Experience Level: Level 3 (senior): 5-7 years

12-month contract position

Location: Montreal (Day 1 onboarding onsite/in-office presence 3x/week)

Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm’s technology principles and drives efficiency and consistency, controls security and strong governance, and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. This role is for a platform engineering specialist who will help build a firmwide AI development platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.

The ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, cloud (AWS, Azure, and/or Google), API-based development, REST framework, data engineering, large-scale API gateway environments, etc. Knowledge of AIML and hands-on experience implementing solutions using generative AI are also preferable. The candidate will have great communication skills, a team-based mentality, and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements. In the Technology division, we leverage innovation to build the connections and capabilities that power our firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Key responsibilities:

Design, build, and operate the AI Gateway's Azure and AWS deployments, taking them from proof of concept to production.
Develop and extend the Python services (FastAPI / Flask) that provide the Gateway's inference, onboarding, and administrative APIs.
Integrate new model providers and model families, including Azure AI Foundry / Azure OpenAI and AWS Bedrock, covering request signing, streaming responses, failover, and quota handling.
Implement cloud-native authentication and secrets handling - Entra ID with Managed Identity and workload federation, AWS IAM roles and STS - with the goal of eliminating stored credentials.
Build and evolve the entitlement and authorization data layer across SQL Server and PostgreSQL, including schema changes, migrations, and data-correctness controls.
Own the platform controls that make the Gateway a governance point: rate limiting, token accounting, content guardrails, audit logging, and chargeback reporting.
Deploy and run the service on Kubernetes (on-premises, AKS, and EKS) using Helm, GitOps, and Terraform, and keep the CI/CD pipelines (Jenkins, GitHub Actions) healthy.
Build the observability to answer any question about a request after the fact - metrics, logs, and dashboards across Prometheus, Grafana, Loki, and Snowflake.
Work with cloud platform, network, and security teams on connectivity, egress policy, network controls, and architecture review, and produce the evidence those reviews require.
Support production: participate in on-call, investigate incidents, and drive fixes and hardening back into the code.
Write tests and documentation as part of delivery, and review peers' changes.

Required qualifications:

Strong, production-grade Python, including a web framework - FastAPI or Flask - and a real testing discipline.
Hands-on Kubernetes: deploying, configuring, and troubleshooting workloads, not solely reading manifests.
Practical OIDC / OAuth 2.0: token validation, JWKS, client-credentials flows, and claim and audience handling.
Microsoft Azure, hands-on across at least three of AKS, Entra ID (app registrations, service principals, Managed Identity / Workload Identity), Azure OpenAI or Azure AI Foundry, Key Vault, Azure Database for PostgreSQL, Azure Cache for Redis, and Azure Monitor.
Amazon Web Services, hands-on across at least three of: IAM and STS / assume-role, SigV4 request signing, Bedrock, EKS, VPC endpoints and private networking, Secrets Manager, and CloudWatch.
Infrastructure as code - Terraform, Bicep, or CDK - and CI/CD with Jenkins or GitHub Actions.
SQL and relational data modeling, including schema migrations.
Clear written and verbal communication and the ability to work directly with security, network, and platform teams.

Preferred qualifications:

Experience building or operating an API gateway, reverse proxy, or multi-tenant platform.
LLM platform engineering specifics: streaming and server-sent events, token accounting, prompt and response guardrails, and model evaluation.
Kafka and Snowflake for audit and consumption data pipelines.
Observability depth: Prometheus and PromQL, Grafana, Loki, OpenTelemetry.
Redis or Valkey beyond basic caching - counters, TTLs, distributed rate-limiter semantics.
Experience delivering in a regulated enterprise environment with corporate proxies, private networking, and strict change control.

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More about this job

Responsibilities

Build, deploy, and operate a secure enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native identity, authorization, and governance controls. Maintain Kubernetes deployments, CI/CD, observability, production support, and documentation while collaborating with security, network, and platform teams.

Requirements

Requires production-grade Python and web-framework experience, hands-on Kubernetes skills, practical OIDC/OAuth 2.0 knowledge, and experience with multiple Azure and AWS services. Candidates also need infrastructure-as-code and CI/CD experience, SQL data-modeling and migration skills, and strong communication abilities; experience level is specified as 5–7 years.

Skills

Python
FastAPI
Flask
Kubernetes
Microsoft Azure
Amazon Web Services
OAuth 2.0
OpenID Connect
Terraform
CI/CD
SQL
API Gateway
Generative AI
Infrastructure as Code
Observability
Cloud Security

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
AI Development Platform
AI Gateway
Python
FastAPI
Flask
Kubernetes
Azure
AWS
Azure OpenAI
Azure AI Foundry
Amazon Bedrock
Entra ID
AWS IAM
STS
OAuth 2.0
OIDC
Terraform
Helm
GitOps
Jenkins
GitHub Actions
SQL Server
PostgreSQL
Prometheus
Grafana
Loki
Snowflake
Kafka
OpenTelemetry

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