| Microsoft Careers

Microsoft

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $102,100–$202,200 / yr
Posted: 38 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k

This role $152k

$86k most similar roles pay here $251k

This role pays less than 76% of similar roles. Most pay $155,000–$207,350 — the shaded band above. At the midpoint, this role pays about $152k versus about $181k for comparable roles.

Based on 238 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 1103 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 985 roles with salary data.

Most-posted roles

View all roles at Microsoft

At a glance

TL;DR · | Microsoft Careers

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As an AI Research Engineer II at Microsoft Security’s Identity Security organization, you will work at the intersection of applied research and engineering to design and build large-scale AI systems that protect billions of users from account compromise and fraud. Your day-to-day responsibilities include developing GenAI-powered agents for real-time reasoning over identity signals, automating investigations of risky activity, and implementing intelligent decision-making platforms. You will leverage technologies such as RAG, prompt engineering, and tool-using agents to handle complex workflows while integrating agent frameworks and AI services that enable reasoning and task execution. Additionally, you will apply traditional machine learning techniques alongside large language models to enhance system performance and reliability, ensuring scalability and resilience in production environments. This role requires expertise in Azure OpenAI, Azure AI Foundry, and a deep understanding of AI safety practices to mitigate risks associated with GenAI systems.

Skills

Azure OpenAI Azure AI Foundry RAG Prompt Engineering Machine Learning LLM Agent Frameworks Evaluation Frameworks CI/CD AI Safety Responsible AI Precision Recall Multi-Agent Systems Stateful Reasoning Context-Aware Decision Systems

What you'll do

Design and build GenAI-powered agents to reason over signals and take intelligent actions.
Develop AI systems using RAG, prompt engineering, and tool-using agents for complex workflows.
Integrate agent frameworks and AI services enabling reasoning, planning, and task execution.
Apply traditional machine learning techniques alongside LLM-based systems to enhance performance.
Prototype novel AI approaches and implement context engineering for system reliability.
Design evaluation frameworks to measure model performance and continuously improve systems.
Collaborate with teams to deploy advanced GenAI capabilities in production environments.

What we're looking for

Bachelor's degree in a relevant field with 2+ years of experience or equivalent.
Master's degree in a relevant field with 1+ year of experience or equivalent.
Experience building AI agents and multi-agent systems.
Ability to translate research ideas into production systems.
Familiarity with Azure OpenAI, Azure AI Foundry, or similar platforms.
Knowledge of AI safety practices and responsible AI implementation.
Experience designing evaluation frameworks for AI systems.

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