AI Engineer II & Senior AI Engineer, Getting Customers Ready for AI

Microsoft

Quick summary

Work type
On-site
Location
Redmond, WA
Salary
$119,800–$234,700 / yr
Posted
5 days ago
Closes
Dec 19, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $177k
$105k most similar roles pay here $261k

This role pays less than 68% of similar roles. Most pay $166,999–$246,150 — the shaded band above. At the midpoint, this role pays about $177k versus about $207k 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 694 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 636 roles with salary data.

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At a glance

TL;DR · AI Engineer II & Senior AI Engineer, Getting Customers Ready for AI

The Microsoft Security's Getting Customers Ready for AI team is hiring an AI Engineer II and a Senior AI Engineer to design, build, and deploy AI-native systems that enable secure enterprise-scale adoption of AI. In this role, you will develop intelligent systems transforming signals from identity, devices, data, applications, and infrastructure into actionable insights and automation. Responsibilities include designing AI-powered solutions, developing scalable data pipelines, deploying and monitoring AI systems using MLOps practices, and integrating AI capabilities into customer-facing applications. Preferred qualifications include experience with machine learning models, Python programming, MLOps practices, and modern AI technologies such as LLMs and vector databases. This role requires a strong builder mindset to rapidly prototype and iterate on solutions while collaborating across engineering, data science, product, and customer teams to deliver practical AI-driven outcomes in a fast-evolving technology landscape.

What you'll do

  • Design and build AI-powered solutions using machine learning models and LLM-based applications.
  • Develop scalable data pipelines and ETL processes for model development and deployment.
  • Deploy and monitor AI systems to ensure performance, reliability, security, and scalability.
  • Transform multi-source data into contextual intelligence and decision-support capabilities.
  • Integrate AI capabilities into applications, services, APIs, and platforms for end-to-end experiences.
  • Contribute to frameworks and solutions that help customers securely adopt and operationalize AI technologies.

What we're looking for

  • Extensive experience building and deploying AI/ML systems including machine learning models and LLM-based applications.
  • Proficient programming skills in Python or similar languages for AI development and data processing.
  • Strong knowledge of machine learning fundamentals, statistics, optimization, and data processing techniques.
  • Experience developing scalable data pipelines and operating distributed cloud-based AI/ML workloads.
  • Familiarity with MLOps practices including CI/CD, model deployment, monitoring, versioning, and containerization.
  • Problem-solving skills and ability to learn quickly in rapidly evolving technology environments.

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