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Added 1 month ago
Security Engineer , AI Security
Amazon
Vancouver, BC
…ground up? The Amazon AI Security team is looking for a Security Engineer to design security controls and validate that our AI and machine learning (ML) services, applications, and emerging…
Added 1 month ago
J
Cybersecurity Engineer, Entry Level (Canada)
Jobright.ai
Canada
- Full-time
…job outcomes. They are seeking an entry-level Cybersecurity Engineer to monitor security incidents, perform vulnerability assessments, and collaborate with engineering teams to enhance…
Added 1 month ago
P
Data Engineer – Data Platform (AI-Enabled)
Petal
Canada
- Full-time
Petal is looking for an AI-First Data Engineer to join a small platform team building the next generation of our data platform, enabling advanced BI and enabling AI workflows across the…
Added 1 month ago
Lead IAM Engineer
Braze
Toronto, ON
If you’re an experienced IAM engineer with deep Okta expertise who enjoys both defining architecture and getting hands-on with automation, integrations, governance, and platform…
Added 1 month ago
B
Sr Analyst, DevOps
Brookfield
Toronto, ON
- Full-time
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Added 1 month ago
B
Lead IAM Engineer
Braze
Toronto, ON
- Full-time
If you’re an experienced IAM engineer with deep Okta expertise who enjoys both defining architecture and getting hands-on with automation, integrations, governance, and platform…
Added 1 month ago
ES
Offensive Security Engineer
Epsilon Solutions Ltd.
Toronto, ON
- Contract
As “Principal Consultant, Agentic AI Cybersecurity Engineer” you will work hands-on alongside our cybersecurity engineering and application security teams to build, operate, and advance the…
Added 1 month ago
C
Ingénieur(e) solutions
ChapsVision
Montreal, QC
- Full-time
Expérience pratique d’au moins un langage de programmation (Python, Java, C# ou similaire)
Added 1 month ago
C
Senior Full-Stack Engineer, Internal Applications
Cohere
Remote, Canada
- $215,000 to $310,000 CAD / year
- Full-time
- Remote
As a Full-Stack Software Engineer on the Internal Applications team, you will:
Added 1 month ago
Principal Consultant, GenAI
Lovelytics
Toronto, ON
Lovelytics is seeking a Principal Gen AI Consultant with hands-on experience delivering client-facing projects in the Generative AI domain, particularly on the Databricks platform. As part…
Added 1 month ago
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Prompt Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
…job search process. They are seeking an early-career Prompt Engineer to craft and evaluate prompts that enhance the performance of AI outputs across user-facing…
Added 1 month ago
TI
DevOps Engineer
TitanFile Inc.
Toronto, ON
- Full-time
TitanFile is looking for a DevOps Engineer who is personable, persistent, and confident. A person who is passionate about learning new technologies and improving the skills they already…
Added 1 month ago
Senior Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Software Engineer. Could It Be You?
Added 1 month ago
C
R&D Optical Product Ramp Engineer
Ciena
Ottawa, ON
- Full-time
…improvements. You will combine manufacturing data analysis with hands-on lab debug and cross-functional execution to identify issues, recommend corrective actions, and help drive them to…
Added 1 month ago
BA
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
- Full-time
Hands-on experience building and deploying AI/ML solutions in production environments (not just POCs/notebooks)
Added 1 month ago
D
Data Engineer I
Docebo
Toronto, ON
- $68,600 to $91,500 CAD / year
- Full-time
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture…
Added 1 month ago
C
R&D Optical Product Ramp Engineer
Ciena
Ottawa, ON
- Full-time
…improvements. You will combine manufacturing data analysis with hands-on lab debug and cross-functional execution to identify issues, recommend corrective actions, and help drive them to…
Added 1 month ago
Staff Backend Engineer, Customer Value Optimization
HelloFresh
Toronto, ON
We're looking for a Staff Backend Engineer to join our Customer Value Optimization (CVO) tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection…
Added 1 month ago
Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Software Engineer. Could It Be You?
Added 1 month ago
TI
DevOps Engineer
TitanFile Inc.
Toronto, ON
- Full-time
TitanFile is looking for a DevOps Engineer who is personable, persistent, and confident. A person who is passionate about learning new technologies and improving the skills they already…
Added 1 month ago
Senior Specialist, IT Infrastructure
Celestica International LP
Toronto, ON
We are seeking a highly skilled, hands-on Technical Lead to design, build, nd actively engineer our enterprise cloud and hybrid platform infrastructure. The candidate will directly write…
Added 1 month ago
RT
Integration Engineer
Russell Tobin
Toronto, ON
- $65 to $75 CAD / hour
- Contract
Overview: Hiring a seasoned Integration Engineer with deep expertise in both Boomi and Workato, focused primarily on payroll and HR application integrations. The role requires 3–5 years…
Added 1 month ago
RT
Sr Integration Engineer (Intelligent Automation)
Russell Tobin
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Position: Sr Integration Engineer (Intelligent Automation)
Added 1 month ago
TC
Software Engineer - Python, AWS Lambda, AI
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Hands-on expertise with Python, Lambda functions, APIs, LLM Models, Java
Added 1 month ago
D
Data Engineer I
Docebo
Remote, Canada
- $68,600 to $91,500 CAD / year
- Full-time
- Remote
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture…

Brookfield Asset Management

Sr Analyst, DevOps

Toronto, ON, Canada
Brookfield Place, 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

The Senior AI Cloud Developer Analyst builds and delivers scalable AI solutions from prototype to production using AWS and Azure native services. This role manages the operational support, integration, and deployment of AI models, APIs, and data pipelines across the enterprise environment.

Requirements

Candidates must have 3-5+ years of experience in software, data, or ML engineering with hands-on expertise in deploying AI/ML solutions. A bachelor's degree in computer science or a related field is required, along with proficiency in Python and cloud-native AI tools.

Skills

Python
AWS
Azure
Machine Learning
LLMs
Prompt Engineering
RAG
Vector Databases
API Development
Docker
Kubernetes
CI/CD
MLOps
ETL/ELT
Microservices
Data Pipelines

Visa sponsorship

Not detected in the job text

Keywords

DevOps
AI
Cloud Computing
Machine Learning
Python
AWS
Azure
LLMs
RAG
Vector Databases
Docker
Kubernetes
CI/CD
MLOps
ETL
ELT
REST
GraphQL
Microservices
Data Engineering
Software Engineering
SageMaker
Bedrock
Azure ML
GitHub Actions
Azure DevOps
Infrastructure as Code
API
Data Pipelines
Observability

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