The Applied AI II Engineer role is part of the Azure Engineering Operations team, focusing on delivering AI-powered solutions to enhance the Azure customer support experience. This position involves transforming product specifications into scalable AI services and improving customer interactions through intelligent automation. The engineer will work with various technologies, including LLM orchestration and multi-agent systems, to create efficient workflows. The role emphasizes collaboration within a global team and a commitment to responsible AI practices.

• Bachelor's Degree AND 2+ years experience in low-code application development, engineering product/technical program management, data analysis, or product development OR equivalent experience.
• 1+ year(s) of experience using low-code/no-code platforms such as Dataverse or Power Applications.
• 1+ year(s) of experience managing and configuring artificial intelligence solutions like chatbots.
• 1+ year(s) of experience with programming or coding.
• Familiarity with Azure services such as Azure OpenAI, Azure AI Foundry, or Azure Functions.

• Translate product specifications into AI service architectures by decomposing business intent into agent workflows and scalable service designs.
• Build agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework.
• Develop and iterate on LLM-based solutions including prompt engineering and model selection.
• Build evaluation systems to validate agent correctness and safety before production deployment.
• Write production-quality C# and Python code with test-driven development.
• Deploy services using CI/CD pipelines and ensure full production observability.
• Implement secure service patterns including RBAC and secrets management.
• Integrate agents with Azure data sources and cloud-native services.
• Apply Responsible AI practices across all agent development.
• Own the end-to-end lifecycle of AI service components including design, development, testing, and monitoring.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.