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Added 1 month ago
CG
Senior DevOps/SRE Engineer
Credit Genie
Toronto, ON
- Full-time
Experience with AI/LLM tooling, MCP, model gateways, or internal developer platforms for AI.
Added 1 month ago
SC
Senior Manager - Customer Analytics
Staples Canada
Richmond Hill, ON
- Full-time
…ownership over Customer Analytics, this role will work closely with various cross-functional partners and have the opportunity to build deep insights across the customer journey – extending…
Added 1 month ago
TC
Lead Developer, Research & Development
The Citco Group Limited
Toronto, ON
- Full-time
…our industry, and shape its future. From working exclusively with hedge funds to serving all alternatives, corporations and private clients, our organization has grown immensely across…
Added 1 month ago
C
AI Engineer
Cognizant
Toronto, ON
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 1 month ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
…consistently across all model types. You will partner directly with Applied Scientists to translate model data requirements into reliable pipelines, and work across data engineering,…
Added 1 month ago
Security Engineer , AI Security
Amazon
Vancouver, BC
You might start your morning reviewing a threat model for a new AI/ML service feature, then jump into a code review with a partner development team to assess authentication and data flow…
Added 1 month ago
S
Computer Vision Engineer
SearchLabs
Mississauga, ON
- $200,000 to $250,000 CAD / year
- Full-time
Strong Python development skills and experience with modern ML frameworks such as PyTorch.
Added 1 month ago
B
Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 1 month ago
AI & ML Intern - Electrical Engineer (Witner 2027)
Trench Group GmbH
Toronto, ON
Proficiency with Python and ML libraries (such as TensorFlow or PyTorch).
Added 1 month ago
TC
Senior Automation Developer with Blue Prism
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Automation Developer to design, develop, and optimize automation solutions using Blue Prism, with complementary expertise in Python, SQL, and API…
Added 1 month ago
C
Senior Full-Stack Engineer, Internal Applications
Cohere
Remote, Canada
- $215,000 to $310,000 CAD / year
- Full-time
- Remote
You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python
Added 1 month ago
Senior Software Engineer
Questrade Financial Group
Toronto, ON
At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver…
Added 1 month ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and…
Added 1 month ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
7+ years of backend engineering experience, with a strong foundation in Python
Added 1 month ago
P
Senior Software Quality Engineer – AI
PeoplePilot
Toronto, ON
- Full-time
5+ years of programming experience with Java, Python, Groovy, or similar languages.
Added 1 month ago
B
Information Technology Lead
BMAD
Montreal, QC
- Full-time
Excellent ability to address complex issues with attention to detail and effective solutions, coupled with the capability to work under pressure in fast-paced environments. Proficient in…
Added 1 month ago
AS
Data Scientist
AgileGrid Solutions
Canada
- Full-time
…years of experience in data science or advanced analytics, with a proven track record in developing and deploying Generative AI and large language models in production environments.…
Added 1 month ago
U
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
- Full-time
Experience with programming/scripting, such as Python and/or PySpark.
Added 1 month ago
A
Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
- Full-time
…about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from…
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
Write clean, highly-optimized, and thoroughly-tested code in Python. Mentor junior engineers on best practices for both software engineering and the unique challenges of machine learning…
Added 1 month ago
C
Senior AI Engineer
Comm100
Vancouver, BC
- $100,000 to $150,000 CAD / year
- Full-time
New office with full gym, massage chairs, and bike storage
Added 1 month ago
C
AI Engineer
Comm100
Vancouver, BC
- $80,000 to $120,000 CAD / year
- Full-time
New office with full gym, massage chairs, and bike storage
Added 1 month ago
U
AI/ Prompt Developer
UST
Montreal, QC
- Full-time
With us, you’ll create a boundless impact that transforms your career - and the lives of people across the world.
Added 1 month ago
E
Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Typically, 2-8 years of relevant experience. Candidates with additional experience can apply
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
Strong proficiency in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.

Brookfield

Sr Analyst, DevOps

Toronto, ON, Canada

Salary Range: C$105K-120K · Full-time

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Job details

Pay: Salary Range: C$105K-120K
Job type: Full-time
Posting language: English
Posted: Sep 15, 2026

Original job description

Location

Brookfield Place - 181 Bay Street

Technology Services

Technology Services (TS) is responsible for delivering all enterprise infrastructure, applications and related end user technology services across all Brookfield business groups.

Brookfield Culture

Brookfield has a unique and dynamic culture. We seek team members who have a long-term focus and whose values align with our Attributes of a Brookfield Leader: Entrepreneurial, Collaborative and Disciplined. Brookfield is committed to the development of our people through challenging work assignments and exposure to diverse businesses.

Job Description

The Senior AI Cloud Developer Analyst within Brookfield’s Technical Service Group (TSG) builds and delivers AI solutions from prototype to production, implementing scalable, secure and reliable AI capabilities that meet business needs across the Brookfield environment. This role translates early-stage concepts and prototypes into production-ready systems, working closely with cross-functional technology teams.

Key Responsibilities

Implement and scale AI capabilities across projects using AWS & Azure native services, building and maintaining the appropriate AI infrastructure and security controls required to run AI applications reliably in the production environment.
Translate prototype and concepts into production-ready implementations by building modular services, APIs, data flows and integration patterns following and applying reusable patterns and enterprise standards.
Implement AI features using LLMs, agent frameworks, retrieval-augmented generation, APIs, orchestration tools and enterprise platforms.
Integrate AI solutions with Brookfield systems and infrastructure to ensure enterprise-wide interoperability.
Build reliable, scalable data pipelines to ingest, transform & validate data – ensuring quality & availability for AI training, inferencing and production workflows
Build reusable APIs and integration layers that enable AI capabilities to be consumed across applications.
Manage the operational support of AI solutions including deployment, configuration and observability across Brookfield environments.
Work closely with internal Brookfield technology teams including cybersecurity, cloud, data, application & project teams to translate requirements into working solutions.
Test AI models, APIs, frameworks and platforms for accuracy, latency, cost, scalability, integration fit and operational readiness.
Document implementation details, APIs, dependencies, deployment steps, operational procedures and known limitations.

Key Deliverables

Deployed, tested and enterprise-integrated AI services, APIs and solutions validated for reliability, security and performance.
Validated, documented data pipelines supporting AI training, inference and production workflows.
Connectors, API contracts and integration layers linking AI capabilities to business applications.
Reusable service templates and implementation patterns adopted across AI projects
CI/CD workflows for AI models and service deployments across all environments.
Monitoring and observability setup through dashboards, alerts and logging for AI workloads closely monitoring performance, costs and reliability.
Hardened AWS and Azure infrastructure and security configurations for AI workloads.
Evaluation reports benchmarking AI models, APIs and frameworks for accuracy, latency, costs and scalability.
Architecture-aligned technical documentation, including API references, deployment runbooks and known limitations
Operational runbooks for incident response, troubleshooting and maintenance of AI workloads.

Required Experience

3-5+ years in software engineering, data engineering or ML engineering roles
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Experience translating prototypes or proof-of-concepts into scalable production-grade AI based solutions
Working experience with AWS and/or Azure, particularly AI/ML services (e.g., SageMaker, Bedrock, Azure ML, Azure Foundry)
Experience with IAM, networking & security configuration for cloud workloads.
Experience with containerization and orchestration (Docker, Kubernetes/ECS/EKS)
Practical experience with LLMs, prompt engineering and agent orchestration frameworks (e.g. Langchain/LangGraph, MS Agent Framework/Semantic Kernel)
Experience implementing RAG (retrieval-augmented generation) architectures, including vector databases (Azure AI Search, AWS OpenSearch, Bedrock KB, AWS DocumentDB)
Familiarity with model serving and inference patterns, including real-time, batch and API based approaches.
Strong API development experience (REST, GraphQL)
Proficiency in Python with CI/CD pipeline experience (GitHub Actions, Azure DevOps)

Skills & Qualifications

Bachelor’s degree in computer science, Software Engineering, Data Science or related field
Proficiency in Python, with familiarity in JavaScript/TypeScript
Skilled in LLMs, prompt engineering, RAG architectures, vector databases and agent orchestration frameworks.
Proficient in REST/GraphQL API build, microservices and integration patterns
Proficient in building ETL/ELT pipelines and validating data using cloud native tools like AWS Glue or Azure Data Factory
Proficient in CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and MLOps practices including model deployment, versioning, and monitoring
Strong problem solving and analytical thinking with a required ability to translate ambiguous requirements into working solutions
Effective technical communicator with a required ability to clearly communicate solutions to both technical and non-technical stakeholders
Demonstrated decisiveness taking ownership of technical decisions and solutions willing to make calculated judgement calls under ambiguity rather than defaulting to indecision.
Adaptable to work with evolving AI tools/frameworks in a fast-changing landscape

Preferred Qualifications

AWS Certified Machine Learning Engineer - Associate
AWS Certified Generative AI Developer - Professional
Azure AI Cloud Developer Associate
Azure AI App and Agent Developer Associate

Salary Range: C$105K-120K

Position Opening Reason:

New Position

Brookfield is committed to maintaining a Positive Work Environment that is safe, respectful; our shared success depends on it. We do not tolerate workplace discrimination, violence or harassment. We are proud to be an Equal Opportunity Employer and make employment decisions based on qualifications, merit, and business needs, without regard to any characteristic protected by applicable law. Applicant information is collected and handled in accordance with our Applicant Privacy Notice. As part of this commitment, we provide barrier-free and accessible employment practices in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and applicable human rights legislation. If you require a Human Rights Code-protected accommodation at any stage of the recruitment process, please let us know when contacted, and we will work with you to meet your needs.

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More about this job

Responsibilities

Build and deliver scalable, production-ready AI solutions and infrastructure using AWS and Azure native services. Develop data pipelines, APIs, and integration layers to ensure AI capabilities are interoperable across the enterprise.

Requirements

Requires 3-5+ years of experience in software, data, or ML engineering with a proven track record of deploying AI/ML solutions in production. Must be proficient in Python, cloud platforms, and agent orchestration frameworks.

Skills

Python
AWS
Azure
LLMs
RAG
Prompt Engineering
Docker
Kubernetes
CI/CD
API Development
Vector Databases
MLOps
Langchain
ETL/ELT Pipelines
JavaScript
TypeScript

Visa sponsorship

Not detected in the job text

Keywords

AWS
Azure
SageMaker
Bedrock
Azure ML
Azure Foundry
LLM
RAG
Langchain
LangGraph
Semantic Kernel
Vector Databases
Azure AI Search
OpenSearch
Docker
Kubernetes
ECS
EKS
Python
REST
GraphQL
GitHub Actions
Azure DevOps
MLOps
AWS Glue
Azure Data Factory
IAM
Microservices
ETL
ELT

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