OverviewIn 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.
ResponsabilitàArchitect 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 fondamentaliAI-powered architecture
agentic AI
LLMs (large language models)
vector stores
orchestration
multi-cloud environments (Azure, AWS, GCP)

📌 Ai Application Architect (Bardi)
🏢 Avanade
📍 Bardi