At a Glance
- Tasks: Drive the development of innovative generative AI solutions within the Microsoft ecosystem.
- Company: Join Avanade, a leader in digital transformation and cloud services.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Work in a dynamic, agile environment with global reach and local impact.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software engineering, data science, or machine learning with proficiency in Python.
The predicted salary is between 60000 - 80000 € per year.
We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience.
- Strong software development background with proficiency in Python.
- Experience with API development using FastAPI, Flask, or Django.
- Knowledge of Docker and containerized deployments.
- Expertise in applying prompt engineering techniques to improve model performance and reliability.
- Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices.
- Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry.
- Strong understanding of software engineering principles and best practices.
- Ability to work in agile environments and collaborate with cross-functional teams.
- Knowledge of vector databases, RAG architectures and their integration into enterprise systems.
- A passion for staying current with the latest advancements in GenAI, LLMs, and AI frameworks.
- Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals.
- Bachelor's in computer science, data science, or a related field.
Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We’re a truly global company with a strong local presence—what I like to call “GLOCAL”: making global impacts on a local level.
Azure AI Engineer employer: Avanade
Avanade is an exceptional employer for an Azure AI Engineer, offering a dynamic work culture that fosters innovation and collaboration within the Microsoft ecosystem. Employees benefit from continuous professional development opportunities, a commitment to responsible AI practices, and the chance to work on cutting-edge generative AI solutions. With a strong local presence and a global impact, Avanade provides a unique environment where your contributions can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Azure AI Engineer
✨Tip Number 1
Network like a pro! Connect with folks in the industry on LinkedIn, attend meetups, and join relevant online communities. The more people you know, the better your chances of landing that Azure AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure AI and generative AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, API development, and prompt engineering. Practice coding challenges and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Azure AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Microsoft platforms and generative AI solutions. We want to see how your skills in Python, API development, and containerized deployments align with what we're looking for.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background in software engineering or data science makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any projects involving Azure AI or prompt engineering, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
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 Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, FastAPI, Flask, and Docker. Brush up on your knowledge of Azure AI Foundry and M365, as being able to discuss these confidently will show your genuine interest and expertise.
✨Showcase Your Projects
Prepare to talk about specific projects where you've implemented generative AI solutions or worked with vector databases. Highlight your role, the challenges you faced, and how you applied prompt engineering techniques to improve model performance. Real-world examples can make a big impact!
✨Understand Agile Methodologies
Since the role involves working in agile environments, be ready to discuss your experience with agile practices. Share how you’ve collaborated with cross-functional teams and adapted to changing requirements. This shows you can thrive in dynamic settings.
✨Stay Current with AI Trends
Demonstrate your passion for AI by discussing the latest advancements in GenAI and LLMs. Mention any recent articles, webinars, or courses you've engaged with. This not only shows your commitment to continuous learning but also aligns with the company’s innovative spirit.