AI Application Architect

About the role

Avanade's Global Integrated Center of Excellence (ICOE) is looking for a hands-on AI Application Architect to help design intelligent, agentic, cloud-native applications. Working in the Application & Infrastructure SME team, you will apply agentic AI across the full delivery lifecycle, from analysis and design to build, test, deploy and operate, and support Avanade Regions on solutioning and delivery. The role influences architecture direction and leads high-impact initiatives across Azure, AWS and GCP.

Key responsibilities

• 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 and contribute to solution planning and design in 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.

Required profile

• 12+ years of experience designing and developing enterprise-scale applications.
• Proven delivery experience applying agentic AI to modernise legacy systems or build new solutions.
• Strong foundation in software engineering, including frontend, backend, APIs, data and cloud architecture.
• Ability to explain complex AI concepts to technical and executive audiences, and to mentor teams.

Required skills

• Primary language expertise in Java or C#, with hands-on experience in Python, Rust and TypeScript/JavaScript.
• Agentic AI frameworks such as AutoGen, Semantic Kernel or LangChain.
• LLMs, prompt engineering, RAG, vector databases and orchestration.
• DevOps and MLOps, including CI/CD, IaC, automated testing, observability and deployment automation.
• Familiarity with data engineering, ML models, Responsible AI and enterprise governance.
• Strong Azure expertise preferred, with exposure to AWS and GCP.

What we offer

• Base pay range of EUR 39,500 to EUR 72,000.
• Exceptional training of at least 80 hours per year and paid certifications.
• Access to global technical communities, a dedicated career advisor and supportive colleagues.