We areseeking 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. Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral. 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.
You'll stand out if you also meet any of the following:
You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact.You have knowledge of vector databases, RAG architectures and their integration into enterprise systemsYou have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow.You are familiar with core agent communication protocols, including MCP or A2A.You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks.You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals.
Bachelor's in computer science, data science,
or a related fieldMinimum of one year of proven experience developing GenAI/Agentic
AI solutions or engaging in prompt engineering with these technologies
Prototype and experiment with emerging technologies to assess technical feasibility and potential business impact.
Design and implement solutions that integrate vector databases and architectures into existing enterprise environments.
Use GenAI development frameworks and orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow to build scalable and dynamic AI solutions.
Develop and test agent-based systems that support communication protocols like MCP or A2A.
Stay up to date and continuously explore the latest advancements in Generative AI, Large Language Models (LLMs), and modern AI frameworks.
Apply knowledge of Azure AI (e.g., through certifications such as Azure AI Engineer Associate or Azure AI Fundamentals) to develop and deploy AI solutions on Microsoft’s cloud platform.
Some of the best things about working at Avanade
Opportunity to work for Microsoft’s Global Alliance Partner of the Year, with exceptional development and training (minimum 80 hours per year for training and paid certifications) Real-time access to technical and skilled resources globally Dedicated career advisor to encourage your growth Engaged and helpful coworkers genuinely interested in you Find out more about some of our benefits Employee Benefits at Avanade | Avanade