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Added 21 mins ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
As a senior member of the Service Monitoring Systems team, you will be responsible of the planning, design, deployment and operational support of advanced monitoring solutions across…
Added 31 mins ago
M
Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 31 mins ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
We are seeking a Senior Software Engineer to build the applied systems that bring AI capabilities into production: the data pipelines, LLM integrations, agentic workflows, tool interfaces,…
Added 46 mins ago
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Senior Water Resources Engineer
Onterris
Calgary, AB · CAN-Alberta-Calgary
- Full-time
As an Senior Engineer in our Calgary office you’ll be responsible for assisting multiple projects where you will have increasing interaction with our multi-disciplinary staff, regulatory…
Added 1 hour ago
W
Senior / Staff Software Engineer, Motion Planning
Waabi
Toronto, ON
- $158,000 to $269,000 USD / year
- Full-time
Production-quality coding skill in Python or C++.
Added 1 hour ago
MT
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Vacancy Name Senior Azure engineer Vacancy No VN878 Function Syn - Delivery & Operations Work Location Isle of Man or United Kingdom Basis Permanent Full Time/Part Time Full time Employment…
Added 1 hour ago
MT
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
Added 2 hours ago
C
Senior QA Automation – SDET
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior QA Automation Engineer to join our growing Quality Engineering team. This is a hands-on role for a quality engineering professional with strong…
Added 3 hours ago
TU
Research Engineer - Instrumentation
The University of British Columbia
Vancouver, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Reports directly to the Principal Investigator, Dr. P. Kirchen and receives additional supervision from senior research staff. Will work in co-operation with other members of the research…
Added 3 hours ago
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Jr. Process Control Engineer (EIT)
B2Gold - Nunavut
NU · Nunavut, Canada
- Full-time
B2Gold is a responsible international senior gold producer headquartered in Vancouver, Canada. Founded in 2007, today, B2Gold has operating gold mines in Canada, Mali, Namibia and the…
Added 4 hours ago
ST
RF Engineer
Swiftlink Technologies
Richmond, BC
- $90,000 to $110,000 CAD / year
- Full-time
- On-site
RF Engineer* Engineering Department | Job Description Company: Swiftlink Technologies Inc. Employment Type: Full-time Location: Richmond, British Columbia, Canada Reports to: Director of…
Added 4 hours ago
HA
Senior Embedded DevOps and Software Verification Engineer
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Embedded DevOps and Software Verification Engineer. Your role involves developing, maintaining and applying the engineering infrastructure…
Added 4 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Connections with senior leaders through educational speaker events
Added 5 hours ago
TI
2027 Accelerated Development Program - BrainBox AI
Trane Italia
Montreal, QC
- Full-time
Added 5 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- Full-time
…Hapiko is a Spin Master company, which means we pair our small, senior engineering team with the reach of one of the world's largest toy companies to pioneer the future of…
Added 5 hours ago
SM
ML Engineer, Character Models [Diffusion] - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
…Hapiko is a Spin Master company, which means we pair our small, senior engineering team with the reach of one of the world's largest toy companies to pioneer the future of…
Added 5 hours ago
ZT
Android Framework/Core OS Software Engineer, Senior
Zebra Technologies
Mississauga, ON · CAN - Mississauga, Canada
- Full-time
The Engineering Customer Response Team (ECRT) is seeking a Senior Software Engineer to provide world-class technical support to global enterprise customers for the Android Operating System,…
Added 5 hours ago
AI
Senior Platform Engineer
Apptoza Inc.
Toronto, ON
- Contract
Added 6 hours ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 USD / hour
- Contract
Apex Systems is seeking a Senior Site Reliability / DataOps Engineer to support a large-scale data modernization initiative within a major Canadian financial institution.
Added 6 hours ago
AS
Full Stack Developer, Java / Angular / AWS
Apex Systems
Toronto, ON
- $45 to $50 USD / hour
- Full-time
Senior Full Stack Developer, Java / Angular / AWS
Added 6 hours ago
E
Senior Site Reliability Engineer
E-Solutions
Toronto, ON
- Full-time
The Sr Cloud Engineer/Sr Site Reliability Engineer is a member of Cloud Operations Automation team and responsible for the reliability, security and efficiency of Change Healthcare’s cloud…
Added 6 hours ago
UO
Research Engineer - Instrumentation
University of British Columbia
Vancouver, BC · UBCV | Civil and Mechanical Engineering Building (CEME)
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Reports directly to the Principal Investigator, Dr. P. Kirchen and receives additional supervision from senior research staff. Will work in co-operation with other members of the research…
Added 7 hours ago
AI
AWS SageMaker/MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
Detailed Job Description: We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying,…
Added 7 hours ago
Jr. Process Control Engineer (EIT)
B2GOLD
NU
B2Gold is a responsible international senior gold producer headquartered in Vancouver, Canada. Founded in 2007, today, B2Gold has operating gold mines in Canada, Mali, Namibia and the…
Added 7 hours ago
I
Data Engineer
InfoFarm
Engineer, BC
- Full-time
We are looking for a Data Engineer to help design, build, and maintain modern data platforms that power data-driven decision-making. You’ll work closely with senior engineers and business…

Gala Solutions

Artificial Intelligence Engineer

Montreal, QC, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 5, 2026
Experience: Experience Level: Level 3 (senior): 5-7 years
Posting language: English
Posted: Oct 6, 2026

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 the enterprise AI Gateway across Azure and AWS, including Python APIs, model-provider integrations, cloud-native identity, and Kubernetes deployments. Implement governance, authorization, observability, and production support controls while collaborating with security, network, and platform teams.

Requirements

Requires production-grade Python and web-framework experience, hands-on Kubernetes, practical OAuth 2.0/OIDC, and experience with multiple Azure and AWS services. Also requires infrastructure-as-code and CI/CD experience, SQL and schema migrations, testing discipline, and clear communication; AI gateway, LLM platform, and observability experience are preferred.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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