The Role

As an Engineer in our newly established and rapidly growing AI team, you will build and operationalize high-value workflow automations across business use-cases, product integrations, and internal data intelligence (Data Lake). You will deliver production-grade workflow capability on our Azure-based stack (Azure AI Foundry), integrating LLM and service APIs into reliable, secure, and observable workflows. This includes building a pragmatic workflow layer and extending orchestration via open‑source and complementary tooling where appropriate. Success in this position requires strong software engineering fundamentals, an operational mindset, and the ability to work autonomously while partnering effectively with technical and non‑technical stakeholders across global teams.

Key Responsibilities

• Build end-to-end workflow implementations from requirements to production: APIs, services, triggers, orchestration, integrations, and delivery of outputs...