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: Exceptional training, paid certifications, and access to global technical communities.
- Other info: Mentorship opportunities and a supportive team culture for career growth.
- Why this job: Make a real impact in AI application architecture and drive transformation.
- Qualifications: 12+ years in enterprise applications, strong software engineering skills, and AI expertise.
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
- 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 in London employer: Avanade
Avanade is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI application architecture. With a commitment to employee growth through extensive training and certification opportunities, as well as access to global technical communities, Avanade empowers its team members to lead high-impact initiatives while enjoying a supportive environment that values their contributions. Located at the forefront of technology, this role provides a unique chance to influence architectural direction and drive transformation across complex enterprise landscapes.
StudySmarter Expert Advice🤫
We think this is how you could land AI Application Architect in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that AI Application Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving agentic AI. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud platforms like Azure, AWS, and GCP. Be ready to discuss how you've applied AI in real-world scenarios, as this will set you apart from other candidates.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from passionate candidates who are eager to join our team and help drive AI adoption across Avanade Regions.
We think you need these skills to ace AI Application Architect in London
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 straightforward. We appreciate clarity, so avoid jargon unless it's relevant. Make it easy for us to see your qualifications and passion for AI.
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
✨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 ability 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 by explaining a recent project to a friend who isn’t in tech. This will help you convey your ideas effectively during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using agentic AI. Think through potential scenarios where you might need to modernise legacy systems or design new solutions, and be ready to outline your thought process and decision-making steps.
