At a Glance
- Tasks: Design and develop AI-powered applications using cutting-edge technologies.
- Company: Join Avanade, a leading tech company with a focus on innovation.
- Benefits: Enjoy competitive salary, extensive training, and career growth opportunities.
- Other info: Collaborative environment with access to global technical communities.
- Why this job: Make a real impact in AI application architecture and drive transformation.
- Qualifications: 12+ years in enterprise applications; expertise in Java or C# required.
The predicted salary is between 80000 - 100000 € per year.
Join Avanade’s Global Integrated Center of Excellence (ICOE) as a hands‑on AI Application Architect, helping design intelligent, agentic, cloud‑native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle - from analysis and design to build, test, deploy, and operate - driving transformation across complex enterprise landscapes.
As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solutioning phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end‑to‑end. This is a unique opportunity to influence Avanade’s architecture direction, elevate engineering productivity, and lead high‑impact initiatives across Azure, AWS, and GCP.
What You’ll Do
- 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.
Qualifications Skills and Experience
- 12+ years of experience designing and developing enterprise‑scale applications.
- Strong foundation in software engineering including frontend, backend, APIs, data, and cloud architecture.
- Expertise in Java or C# as a primary language; hands‑on experience with Python, Rust, and TypeScript/JavaScript.
- Proven delivery experience applying agentic AI to modernize legacy systems or build new solutions.
- Hands‑on expertise with agentic AI frameworks such as AutoGen, Semantic Kernel, LangChain, or equivalents.
- Ability to apply AI agents across all phases of delivery: requirements, architecture, coding, testing, documentation, and deployment.
- Experience with LLMs, prompt engineering, RAG, vector databases, and orchestration patterns.
- Strong Azure expertise preferred, with hands‑on exposure to AWS and GCP.
- Experience integrating AI into distributed systems, microservices, APIs, and event‑driven architectures.
- DevOps and MLOps experience including CI/CD, IaC, automated testing, observability, and deployment automation.
- Familiarity with data engineering, ML models, Responsible AI, and enterprise governance.
- Ability to communicate complex AI concepts to both technical and executive audiences.
- Cloud, AI engineering, or architecture certifications are a plus.
About You
- Passionate about AI with hands‑on experience applying agentic patterns in real delivery work.
- Comfortable working at the intersection of software engineering, AI, cloud, and automation.
- Clear communicator across technical and non‑technical stakeholders.
- Enjoy mentoring teams and raising overall AI engineering maturity.
- Continuously explore emerging AI frameworks, tools, and architectural approaches.
Enjoy Your Career
Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years running), with exceptional training (minimum 80 hours annually) and paid certifications. You will have access to global technical communities, a dedicated career advisor, and supportive colleagues who care about your success.
AI Application Architect employer: Avanade
Avanade is an exceptional employer, offering a dynamic work environment where innovation thrives. As part of the Global Integrated Center of Excellence, you will engage in cutting-edge AI application architecture while benefiting from extensive training and certification opportunities. With a strong focus on employee growth, collaborative culture, and access to global technical communities, Avanade empowers you to make a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Architect
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AI Application Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI and cloud-native applications. We want to see how you’ve applied your expertise in real-world scenarios, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI application architecture. We recommend practicing your responses with a friend or even in front of the mirror. Confidence is key when discussing your experience with AI frameworks and cloud platforms!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Application Architect
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Application Architect role. Highlight your experience with agentic AI and cloud-native applications, as this will show us you understand what we're looking for.
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work where you've applied AI techniques or modernised legacy systems. This helps us see how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it's relevant to the role, and make sure your passion for AI shines through!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Avanade
✨Know Your AI Frameworks
Make sure you’re well-versed in the agentic AI frameworks mentioned in the job description, like AutoGen and LangChain. Be ready to discuss how you've applied these in real projects, as this will show your hands-on experience and understanding of their practical applications.
✨Showcase Your Cloud Expertise
Since the role involves working across Azure, AWS, and GCP, brush up on your cloud architecture knowledge. Prepare examples of how you've integrated AI into distributed systems or microservices in these environments, as this will demonstrate your capability to handle complex enterprise landscapes.
✨Communicate Clearly
You’ll need to explain complex AI concepts to both technical and non-technical stakeholders. Practice articulating your thoughts clearly and concisely, perhaps even using analogies or simple terms to make your points more relatable. This skill is crucial for collaboration and mentoring.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or design scenarios using agentic AI. Think through potential challenges you might face in modernising legacy systems or building new solutions, and be ready to outline your thought process and decision-making criteria.
