At a Glance
- Tasks: Design and architect AI-powered applications using cutting-edge technologies.
- Company: Join Avanade’s innovative Global Integrated Center of Excellence.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to travel and engage with high-value clients.
- Why this job: Make a real impact by transforming projects with agentic AI across various platforms.
- Qualifications: Experience in application architecture and a passion for AI technologies.
The predicted salary is between 70000 - 90000 € 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 modernising 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.
Equal Employment Opportunity Statement: All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
AI Application Architect employer: Avanade Inc.
Avanade is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the role of AI Application Architect. With a strong focus on employee growth and development, Avanade offers unique opportunities to work with cutting-edge technologies in a supportive environment, driving transformation across complex enterprise landscapes. The company's commitment to diversity and inclusion ensures that every team member feels valued and empowered to contribute to high-impact initiatives.
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 the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and applications. This is your chance to demonstrate your expertise in architecting AI-powered solutions and how you’ve applied agentic AI in real scenarios.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI application architecture. Be ready to discuss your experience with cloud platforms like Azure, AWS, and GCP, and how you've driven AI adoption in past roles.
✨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 are proactive about their job search!
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 AI techniques and cloud-native applications, as this will show us you understand what we're looking for.
Showcase Your Projects:Include specific examples of projects where you've applied agentic AI or modern application architecture. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see why you're a great fit!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Avanade Inc.
✨Know Your AI Frameworks
Familiarise yourself with the latest autonomous and semi-autonomous agentic frameworks. Be ready to discuss how you've applied these in past projects, as this will show your hands-on experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems using AI techniques. Highlight specific instances where you modernised legacy systems or built solutions from scratch, as this aligns perfectly with what the company is looking for.
✨Understand Multi-Cloud Environments
Brush up on your knowledge of Azure, AWS, and GCP. Be prepared to discuss how you would integrate traditional software with LLMs and vector stores in a multi-cloud setup, as this is crucial for the role.
✨Engage with the Team
During the interview, demonstrate your collaborative spirit. Discuss how you would work with engineering, data, and DevOps teams to drive AI adoption and solution planning. This shows that you're not just a techie but also a team player.
