AI Application Architect

In breve

Avanade's Global Integrated Center of Excellence is looking for an AI Application Architect to shape intelligent, cloud‑native solutions for enterprise clients. The role sits within the Application Infrastructure SME team and focuses on modern application architecture while pioneering the use of agentic AI across the full delivery lifecycle. You will work closely with Avanade Regions on both direct and indirect deals, influencing architecture direction and boosting engineering productivity on Azure, AWS and GCP platforms. Your day‑to‑day will involve designing AI‑powered applications that incorporate autonomous and semi‑autonomous agents. You will apply these agents to every phase of a project, analysis, design, coding, testing, deployment and operations, while modernising legacy systems through AI‑driven discovery and refactoring. The position also requires you to define end‑to‑end architectures that blend traditional software components with large language models, vector stores and orchestration layers, and to create reusable accelerators, reference architectures and assets for agentic AI patterns. You will guide engineering, data and DevOps teams on AI automation, pipeline integration and observability, and you may travel occasionally for high‑value client engagements. The must‑have background includes more than twelve years of experience designing and delivering enterprise‑scale applications and a solid foundation in software engineering across front‑end, back‑end, APIs, data and cloud architecture. You must be proficient in Java or C# as a primary language and have hands‑on experience with Python, Rust and TypeScript/JavaScript. Proven delivery using agentic AI frameworks such as AutoGen, Semantic Kernel or LangChain is essential, as is the ability to apply AI agents throughout the delivery pipeline. Experience with large language models, prompt engineering, retrieval‑augmented generation, vector databases and orchestration patterns is required, together with strong Azure expertise (AWS and GCP exposure is also expected). DevOps and MLOps skills, including CI/CD, infrastructure‑as‑code, automated testing, observability and deployment automation, are mandatory, as is the capability to communicate complex AI concepts to both technical and executive audiences. Nice‑to‑have attributes include cloud, AI engineering or architecture certifications, familiarity with data engineering, machine‑learning models, Responsible AI and enterprise governance, and a passion for mentoring teams and raising AI engineering maturity. The role offers a competitive salary range of €39,500‑€72,000, extensive training (minimum 80 hours annually), paid certifications, access to global technical communities and a dedicated career advisor, all within a Microsoft Global Alliance Partner that has been recognised for fourteen consecutive years. What the role asks for: - 12+ years enterprise application design and delivery - Primary language Java or C# - Hands‑on Python, Rust, TypeScript/JavaScript - Experience with AutoGen, Semantic Kernel or LangChain - Apply AI agents across analysis to deployment - Work with LLMs, prompt engineering, RAG, vector DBs - Strong Azure expertise; AWS and GCP exposure - DevOps/MLOps CI/CD, IaC, automated testing - Communicate AI concepts to technical and executive audiences - Cloud/AI engineering or architecture certifications (nice‑to‑have)