Sr Analyst, DevOps
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 ResponsibilitiesImplement 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.
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.
3-5+ years in software engineering, data engineering or ML engineering roles
Hands-on experience building and deploying AI/ML solutions in…
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