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Added 4 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
Experience with Microsoft Fabric for data engineering, Lakehouse architecture, or enterprise analytics.
Added 4 days ago
Business Solutions Developer
TC Energy
Calgary, AB
Full-time
Experience with Microsoft Fabric for data engineering, Lakehouse architecture, or enterprise analytics.
Added 4 days ago
Senior AI Engineer
Tundra Technical Solutions
Toronto, ON
$80 to $88 CAD / hour
Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 4 days ago
AKS Workstream Lead
Capgemini
Mississauga, ON
$75 to $95 CAD / hour
Lead detailed design, implementation, security integration, validation, and handover of the enterprise AKS platform.
Added 4 days ago
Senior Integration Engineer
Infotree Global Solutions
Toronto, ON
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 5 days ago
Risk Observability & Analytics Engineer
Capgemini
Montreal, QC
Develop lightweight integrations and automated data acquisition approaches across enterprise platforms, internal datasets, and operational data sources.
Added 4 days ago
AI Full Stack Developer
Synechron
Halifax, NS
$120,000 to $125,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern…
Added 5 days ago
Manager, Product Engineering & Development - Full-Stack Builder
Deloitte
Toronto, ON
Full-time
Design and build across the full stack: modern frontend frameworks, backend services in multiple languages, APIs, data layers, and the cloud infrastructure underneath them.
Added 5 days ago
AI FullStack Engineer
Synechron
Toronto, ON
$100,000 to $107,000 CAD / year
Full-time
We are seeking a Senior AI Full Stack Engineer to join a strategic technology initiative within client's Capital Markets. The successful candidate will help design and develop modern AI-…
Added 5 days ago
Data AI Engineer
Tata Consultancy Services
Mississauga, ON
$100,000 to $130,000 CAD / year
Full-time
We are looking for an AI Engineer to design, develop, and deploy production-grade Machine Learning and Generative AI
Added 5 days ago
Python AI Engineer
Synechron
Montreal, QC · MDC – Montreal
Full-time
Connaissance de la mise en production d’applications d’IA générative.
Added 5 days ago
Artificial Intelligence Engineer
10 Percent Recruiting Ltd.
Edmonton, AB · Greater Edmonton Metropolitan Area
Contract
Partner with the Data Engineer to support vector search, semantic search, and enterprise knowledge repositories.
Added 6 days ago
Senior Machine Learning Engineer
RBC
Calgary, AB · Toronto, ON
Full-time
Agile Methodology, Analytical Thinking, Application Integrations, Application Monitoring, Data Analytics, Deep Learning, Detail-Oriented, DevOps, ElasticSearch, Enterprise Application…
Added 5 days ago
Java/AI Software Engineer
Aptonet
Vancouver, BC
Full-time
We are seeking an Intermediate Software Engineer to join our team in Vancouver, BC, and help build innovative generative AI capabilities across Planview products. In this role, you will…
Added 5 days ago
Winter 2027: WiSE AI Developer Co-op (4 months)
CGI
Toronto, ON
Full-time
Integrate AI solutions with APIs, databases, enterprise applications, data sources, and external services.
Added 6 days ago
Senior Machine Learning Engineer
Royal Bank of Canada
Calgary, AB · Toronto, ON
Full-time
Agile Methodology, Analytical Thinking, Application Integrations, Application Monitoring, Data Analytics, Deep Learning, Detail-Oriented, DevOps, ElasticSearch, Enterprise Application…
Added 5 days ago
Sr Analyst, DevOps
Brookfield
Toronto, ON
Full-time
Translate prototype and concepts into production-ready implementations by building modular services, APIs, data flows and integration patterns following and applying reusable patterns and…
Added 6 days ago
Senior Machine Learning Engineer
RBC
Toronto, ON
Full-time
Agile Methodology, Analytical Thinking, Application Integrations, Application Monitoring, Data Analytics, Deep Learning, Detail-Oriented, DevOps, ElasticSearch, Enterprise Application…
Added 6 days ago
Sr Analyst, DevOps
Brookfield Asset Management
Toronto, ON · Brookfield Place
Full-time
Translate prototype and concepts into production-ready implementations by building modular services, APIs, data flows and integration patterns following and applying reusable patterns and…
Added 6 days ago
AI Enablement Specialist
Apex Systems
Toronto, ON
$115 to $120 USD / hour
Contract
We're looking for a proactive, full-stack engineer who can move fast from idea to working prototype, embed AI responsibly into engineering workflows, and help shape how AI delivers value…
Added 6 days ago
Sr Integration Engineer (Intelligent Automation)
Russell Tobin
Toronto, ON
$90 to $100 CAD / hour
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 6 days ago
AI ENGINEER - PYTHON
SIDRAM TECHNOLOGIES
Mississauga, ON
Full-time
Develop scalable REST APIs & enterprise solutions
Added 6 days ago
Sr. Integration Architect - Automation
Infotree Global Solutions
Toronto, ON
Contract
…Automation experience to design, build, and govern mission-critical enterprise automation and integration solutions on Workato and Boomi, with a specialized focus on Legal systems…
Added 6 days ago
Cloud, Automation & AI Engineer Consultant
Deloitte
Toronto, ON
Full-time
Support large-scale cloud migration and modernization initiatives involving enterprise applications, data platforms, and critical business services.
Added 16 days ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Machine Learning Engineer, Associate Director – AI Innovation Teams

Brookfield

Sr Analyst, DevOps

Toronto, ON, Canada

Pay: Salary Range: C$105K-120K
Job type: Full-time
Apply by: Oct 15, 2026
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

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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