Overview In this role you will design AI-enabled, cloud-native applications and lead the adoption of agentic AI across delivery cycles in a multi-cloud setting. You'll shape architecture direction, collaborate with regional teams, and build accelerators and reusable assets to transform how projects are delivered. The position blends hands-on engineering with strategy, focusing on modernizing legacy systems and integrating AI across Azure, AWS, and GCP.
Responsabilità Architect AI-powered applications using autonomous and semi-autonomous agentic frameworks Apply AI agents across all delivery phases: analysis, design, build, test, deploy, and operations Modernise legacy applications using agentic AI for discovery, transformation, and refactoring Define end-to-end architectures integrating traditional software, LLMs,
vector stores, and orchestration Drive AI adoption within Avanade Regions, enabling AI-driven solution roadmaps Contribute to solution planning and design across multi-disciplinary and multi-cloud environments Develop accelerators, reference architectures, and reusable assets for agentic AI patterns Guide engineering, data, and DevOps teams on AI automation and pipeline integration Travel occasionally for high-value client engagements Requisiti fondamentali AI-powered architecture agentic AI LLMs (large language models) vector stores orchestration multi-cloud environments (Azure, AWS, GCP)
Mostra le tue capacità professionali all'azienda, compila il form e lascia un tocco personale nella lettera di presentazione, aiuterà il recruiter nella scelta del candidato.