Senior Applied AI Engineer

What you'll do

• Analyze support and technical data to identify recurring Azure issues and gaps in diagnostics or documentation.
• Build, evaluate, secure, deploy, and operate agentic AI services and integrations, improving them through production telemetry.
• Lead technical delivery and collaborate across teams; mentor engineers and drive measurable customer impact.

What they ask for

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.

Nice to have

• Experience building or integrating LLM-based systems, such as prompt engineering, RAG, or agent frameworks.
• Background in customer support engineering, supportability, diagnostics, or customer-experience platforms is a plus.

Pay

USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)

Tools

C#, Python, Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, Microsoft Agent Framework, CI/CD

AI focus

Build and operate agentic AI for Azure support and diagnostics, including LLM orchestration, RAG, agent workflows, evaluation, security, and human-in-the-loop capabilities.