AI Application Architect

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 Dev

Ops 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)