At a Glance
- Tasks: Develop and deploy cutting-edge AI applications within the Microsoft ecosystem.
- Company: Join a leading tech company recognised as Microsoft’s Global Alliance Partner of the Year.
- Benefits: Enjoy training opportunities, paid certifications, and access to global resources.
- Other info: Collaborate with experts in a dynamic, agile environment with great career growth.
- Why this job: Make an impact in the exciting field of generative AI with innovative technologies.
- Qualifications: Bachelor's degree in relevant fields and strong Python development skills required.
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. Minimum one year of relevant experience is required.
Responsibilities
- Develop, test, and deploy production‑grade AI applications on Microsoft platforms.
- Create and maintain APIs using FastAPI, Flask, or Django.
- Use Docker and containerized deployments for scalable solutions.
- Integrate LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral into applications.
- Apply prompt engineering techniques to improve model performance and reliability.
- Implement evaluation frameworks and Responsible AI (RAI) practices.
- Collaborate in agile environments with cross‑functional teams.
Qualifications
- Bachelor’s degree in computer science, data science, or a related field.
- Strong software development background in Python.
- Experience with API development.
- Knowledge of Docker and containerized deployments.
- Hands‑on experience with LLM models and prompt engineering.
- Experience in implementing robust evaluation frameworks and RAI practices.
- Familiarity with Microsoft GenAI/Agentic AI ecosystem (M365, Copilot Studio, Azure AI Foundry).
- Strong understanding of software engineering principles and best practices.
- Ability to work in agile environments and collaborate with cross‑functional teams.
Desired Skills
- Prototyping and experimenting with emerging technologies.
- Knowledge of vector databases, RAG architectures, and integration into enterprise systems.
- Experience with GenAI development frameworks or orchestration tools (Semantic Kernel, AutoGen, LangGraph, LangChain, PromptFlow).
- Familiarity with core agent communication protocols (MCP, A2A).
- Passion for staying current with latest advances in GenAI, LLMs, and AI frameworks.
- Microsoft Certified – Azure AI Engineer Associate or Azure AI Fundamentals.
Benefits
- Opportunity to work for Microsoft’s Global Alliance Partner of the Year.
- Minimum 80 hours per year for training and paid certifications.
- Access to technical and skilled resources worldwide.
- Collaborate with Microsoft experts.
Agentic AI Engineer – Microsoft Ecosystem employer: 3004 Avanade UK Limited Company
Join a forward-thinking company that champions innovation and excellence in the field of AI engineering. As an Agentic AI Engineer, you will benefit from a collaborative work culture that prioritises professional growth, offering a minimum of 80 hours per year for training and paid certifications, while working alongside Microsoft experts. This role not only provides the opportunity to develop cutting-edge solutions within the Microsoft ecosystem but also fosters a dynamic environment where your contributions are valued and recognised.
Contact Details:
3004 Avanade UK Limited Company Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Agentic AI Engineer – Microsoft Ecosystem
✨Tip Number 1
Network like a pro! Reach out to folks in the Microsoft ecosystem on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Microsoft platforms. 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 your knowledge of LLM models and prompt engineering. Be ready to discuss how you've applied these in real-world scenarios, as this will demonstrate your hands-on experience.
✨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 Agentic AI Engineer – Microsoft Ecosystem
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Microsoft platforms and AI applications. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how your background makes you a perfect fit for our team. Let us know what excites you about working in the Microsoft ecosystem.
Showcase Your Projects:If you’ve got any personal or professional projects that demonstrate your skills in AI, Docker, or API development, include them! We love seeing practical examples of your work, especially if they relate to the technologies mentioned in the job description.
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 gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at 3004 Avanade UK Limited Company
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft ecosystem, especially M365, Copilot Studio, and Azure AI Foundry. Brush up on your knowledge of LLM models and prompt engineering techniques, as these will likely come up during the interview.
✨Showcase Your Projects
Prepare to discuss specific projects where you've developed production-grade AI applications. Highlight your experience with API development using FastAPI, Flask, or Django, and be ready to explain how you used Docker for containerized deployments.
✨Demonstrate Collaboration Skills
Since this role involves working in agile environments with cross-functional teams, be prepared to share examples of how you’ve successfully collaborated with others. Talk about your experience in implementing evaluation frameworks and Responsible AI practices.
✨Stay Current and Curious
Show your passion for the field by discussing the latest trends in GenAI and LLMs. Mention any recent technologies or frameworks you’ve experimented with, like Semantic Kernel or LangChain, to demonstrate your commitment to continuous learning.
