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Added 4 days ago
Business Reliability Analyst
Toyota Motor Corporation
Toyota Credit Canada Inc - Head Office
Full-time
TFS currently has an exciting permanent opportunity as the Business Reliability Analyst reporting to the Manager of Business Reliability, the Business Reliability Analyst is responsible for…
Added 3 days ago
Student, Cloud Infrastructure Analyst (Winter 2027)
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
Full-time
Student, Cloud Infrastructure Analyst, AI Operations
Added 3 days ago
Cybersecurity Operations Analyst
Powerex
Vancouver, BC
Full-time
…integrity, and availability of the systems that support our…
Added 3 days ago
Senior IT Business Analyst
Master
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
Full-time
Reporting to the Portfolio Director, Transformation, you act as the Business Analyst supporting a portfolio of strategic technology initiatives - including ERP lifecycle resilience,…
Added 3 days ago
Business Reliability Analyst
Toyota Credit Canada Inc.
Markham, ON
Full-time
TFS currently has an exciting permanent opportunity as the Business Reliability Analyst reporting to the Manager of Business Reliability, the Business Reliability Analyst is responsible for…
Added 4 days ago
Senior IT Business Analyst
Master
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
Full-time
Reporting to the Portfolio Director, Transformation, you act as the Business Analyst supporting a portfolio of strategic technology initiatives - including ERP lifecycle resilience,…
Added 5 days ago
Analyste IAM / Okta
Astek
Montreal, QC
Full-time
Our client, a leading insurance company, is seeking an IAM / Okta Analyst to design, build, and validate a Proof of Concept (POC) for Okta Authorization. The client currently uses Okta to…
Added 5 days ago
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 6 days ago
Lead business cybersecurity advisor
Maarut
Quebec, QC · Sainte-Foy, Quebec
Contract
envisions a senior cybersecurity advisor positioned in a business advisory
Added 6 days ago
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 5 days ago
IAM Analyst
East Coast Credit Union
NS
Full-time
Reporting to the Manager, Cybersecurity & Governance, the Identity and Access Management (IAM) Analyst is responsible for the implementation, administration, and continuous improvement of…
Added 5 days ago
AWS Data Architect
Quantiphi
Canada
Full-time
Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering…
Added 5 days ago
Security Incident Response Analyst
Match Group
Vancouver, BC
$111,500 to $156,000 CAD / year
Full-time
We're looking for a senior individual contributor to join our Detection & Response team as a Security Incident Response Analyst. In this role, you'll serve as a senior-level investigator…
Added 6 days ago
Senior IT Business Analyst
Master
Saint-Bruno-de-Montarville, QC · St-Bruno-de-Montarville, QC
Full-time
Reporting to the Portfolio Director, Transformation, you act as the Business Analyst supporting a portfolio of strategic technology initiatives - including ERP lifecycle resilience,…
Added 6 days ago
Identity and Access Cyber Security Analyst
Alberta Health Services
Edmonton, AB · Greater Edmonton Metropolitan Area
Full-time
The Identity and Access Cyber Security Analyst is responsible for supporting and advancing identity and access management practices that ensure only authorized individuals receive…
Added 6 days ago
Cyber Security Analyst
Armstrong Fluid Technology
Toronto, ON
Full-time
…footprints. Together, we’re creating a legacy that goes beyond business - one that’s changing the world for the…
Added 13 days ago
Junior IT Workplace & Infrastructure Analyst
Rexel Canada
Mississauga, ON
$55,000 to $65,000 CAD / year
Full-time
…residential and commercial sectors. As the energy evolves, our business is transforming alongside it.This change is driven by you - our fresh thinkers, innovators and groundbreakers. By…
Added 13 days ago
Technology Operations Analyst - Access Management Managed Services
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
Ernst & Young is seeking an intermediate-level Cyber Identity and Access Management (IAM) Analyst to support Cyber Managed Identity Services team.
Added 18 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
…Our team empowers thousands of Data Scientists, Analysts, and business users across RBC with self-serve analytics capabilities built on Snowflake, delivered through a multi-cloud…
Added 17 days ago
Senior Information Security Analyst - IAM/CyberArk Administrator
TD
Toronto, ON
Full-time
…job-related knowledge, geographic location, and other specific business and organizational…
Added 16 days ago
Product Owner
Government of New Brunswick
NB · NB, Canada
Full-time
User Story Creation: Define user stories with clear acceptance criteria in concert with the Senior Business Analyst. Serve as a point of contact for clarification on requirements to the…
Added 17 days ago
Analyst, Identity Access Management
Vacances Air Canada Vacations / Air Canada Rouge
Montreal, QC
The Analyst, Identity Access Management (IAM) is responsible for managing employee access to IT systems, ensuring secure and efficient user account configurations. This role involves…
Added 18 days ago
IAM Analyst
Arctiq
Toronto, ON
Contract
Previous experience as an IAM Business Analyst may be sufficient; candidates with broader IAM or technology backgrounds will also be considered, provided they have a strong understanding of…
Added 19 days ago
Senior Information Security Analyst
Royal Bank of Canada
Toronto, ON
Full-time
Looking for an experienced Senior Information Security Analyst to join our Access Certification Management team to operationally support the cutting-edge identity and access management…
Added 23 days ago
First Nations/Inuit/Métis Candidates: Cybersecurity, Application Security Analyst/Consultant -R8dius
Deloitte
St. John's, NL · Greater St. John's Metropolitan Area
Full-time
R8dius is an Indigenous majority-owned professional services, technology implementation and managed services business. We are united by the goal of forging a new path for all of us to walk…

Brookfield Asset Management

Sr Analyst, DevOps

Toronto, ON, Canada
Brookfield Place, Canada

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

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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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