03 Sep
|
Nameless
|
Perth
Role summary:
Develop, enhance, and operate a production -grade AI platform that automates procurement compliance checks across the procure -to -pay lifecycle. The role focuses on platform engineering, enterprise integrations, AI pipeline operationalization, observability, and cloud -native solution delivery, ensuring AI capabilities are scalable, reliable, and auditable.
Key responsibilities:
- Design, build, and maintain cloud -native services and data integration pipelines supporting AI -powered compliance workflows
- Develop and enhance document processing and orchestration pipelines using Azure Functions and event -driven architectures
- Integrate enterprise systems including SAP, Snowflake, Cosmos DB, and other source -of -truth platforms
- Build and operate evaluation infrastructure, telemetry, monitoring dashboards, and operational tooling for AI services
- Implement CI/CD, automated testing, and production support practices to ensure platform reliability and security
- Collaborate with Data Scientists and product teams to productionize AI capabilities and continuously improve platform performance
Requirements
Mandatory skills:
- Strong Python development experience with production -grade, testable, and maintainable code
- Experience building and operating applications on Azure cloud,
including serverless and event -driven architectures
- Strong knowledge of data integration, SQL, and enterprise data platforms such as Snowflake or similar warehouses
- Experience developing APIs, microservices, and distributed systems
- Hands -on experience with CI/CD pipelines, Git -based development, and DevOps practices
- Solid understanding of observability, including logging, tracing, performance monitoring, and operational dashboards
Preferred skills:
- Experience with Azure OpenAI, Azure Document Intelligence, OCR, or AI -powered applications
- Familiarity with LLM integration, prompt orchestration, and AI application development
- Experience integrating with SAP, OData services, or enterprise ERP platforms
- Experience working in agentic development environments and AI -assisted engineering workflows
Experience:
- 5–10+ years of experience in software engineering, cloud application development, or platform engineering
- Proven track record delivering and supporting cloud -native, enterprise -scale applications in production environments
- Experience working in AI, data -driven, or intelligent automation platforms is highly desirable