Brookfield Asset Management
Sr Analyst, DevOps
Toronto, Ontario · Senior
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About the role
- This role translates early-stage concepts and prototypes into production-ready systems, working closely with cross-functional technology teams.
- Integrate AI solutions with Brookfield systems and infrastructure to ensure enterprise-wide interoperability.
Responsibilities
- 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.
- 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.
- Document implementation details, APIs, dependencies, deployment steps, operational procedures and known limitations.
Requirements
- 3-5+ years in software engineering, data engineering or ML engineering roles
- 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)
Nice to have
- AWS Certified Generative AI Developer
- AWS Certified Generative AI Developer - Professional
- Azure AI Cloud Developer Associate
- Azure AI App and Agent Developer Associate
Skills
- Test AI models, APIs, frameworks and platforms for accuracy, latency, cost, scalability, integration fit and operational readiness.
- Evaluation reports benchmarking AI models, APIs and frameworks for accuracy, latency, costs and scalability.
Compensation
- Salary Range: C$105K-120K
Company info
- 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.
- 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.
This listing is sourced directly from Brookfield Asset Management's careers page and normalized into a canonical job model.