Applied AI Engineer

Microsoft

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $102,100–$202,200 / yr
Posted: 1 day ago
Freshness: Confirmed live today
Closes: Apr 11, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $190k

This role $152k

$86k $248k

below market most similar roles pay here above market

This role pays less than 70% of similar roles. Most pay $148,040–$232,625 — the blue band above. At the midpoint, this role pays about $152k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

About Microsoft

Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing

Microsoft currently has 661 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 633 roles with salary data.

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At a glance

TL;DR · Applied AI Engineer

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The Applied AI Engineer joins the ACES CØDE engineering team to build domain-specific agents and services that transform Azure customer support from reactive, human-dependent workflows into AI-first systems. You will translate product specifications into AI service architectures, decomposing business intent into agent workflows and data source integrations. Daily responsibilities include building agentic AI workflows using Azure AI Foundry Agent Service and Microsoft Agent Framework, developing LLM-based solutions involving prompt engineering and RAG pipeline design, and creating evaluation systems with golden datasets. You will write production-quality C# and Python code, manage CI/CD pipelines, and implement secure service patterns like RBAC and Managed Identities. This role solves the problem of high operational demand by creating autonomous resolution systems that improve the reliability and scalability of cloud services.

Skills

Python C# Azure LLM RAG Agentic AI Azure AI Foundry Azure OpenAI CI/CD Prompt Engineering Microservices Cosmos DB RBAC Managed Identities System Design Data Structures Algorithms C++ Java JavaScript

What you'll do

Translate product specifications into AI service architectures and agent workflows.
Build agentic AI workflows using Azure AI Foundry and Microsoft Agent Framework.
Develop LLM-based solutions including prompt engineering, model selection, and RAG pipeline design.
Build evaluation systems with rubrics and golden datasets to validate agent correctness.
Write production-quality C# and Python code using test-driven development.
Deploy services using CI/CD pipelines with full production observability and tracing.
Integrate agents with Azure data sources and cloud-native services.
Implement secure service patterns including RBAC and secrets management.

What we're looking for

Bachelor's Degree in Computer Science or related technical field.
2+ years of technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python.
Ability to pass the Microsoft Cloud Background Check.
Master's degree in Computer Science, AI, or related field (preferred).
4+ years of software engineering experience in C# and/or Python with production deployment experience (preferred).
Experience building or integrating with LLM-based systems including prompt engineering, RAG, or agent frameworks (preferred).
Familiarity with Azure services such as Azure OpenAI, Azure AI Foundry, Azure Functions, or Cosmos DB (preferred).
Experience with CI/CD pipelines, automated testing, and production observability (preferred).

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