Role at a glance
- Salary
- $85.4K – $168.1K/yr
- Location
- Redmond, Washington, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not...
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Role Summary
Microsoft Security is seeking an AI Engineer II to help build AI-native systems that support secure enterprise-scale AI adoption. The role involves developing and improving AI systems, data pipelines, and production deployments that transform signals across identity, devices, data, applications, and infrastructure into actionable insights and automation.
What You'll Do
- Contribute to building LLM-based and RAG AI/ML models
- Build and maintain data pipelines, ETL workflows, and training datasets
- Support model deployment using MLOps practices such as CI/CD, model versioning, and containerized environments
- Monitor and troubleshoot AI systems for performance, reliability, and data quality issues
- Integrate AI capabilities into services, APIs, and applications
- Write clean, maintainable, and well-tested code for AI systems and data pipelines
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Required
- Bachelor's Degree in Computer Science, or related technical discipline
- Proven experience coding in C, C++, C#, Java, JavaScript, or Python
Preferred
- Experience building or contributing to AI/ML models or data-driven systems
- Programming experience in Python or similar languages for AI development
- Understanding of machine learning fundamentals and data processing workflows
- Experience with LLMs, RAG pipelines, or vector databases
- Exposure to MLOps practices, including CI/CD, model deployment, and monitoring
- Familiarity with cloud platforms, Azure preferred
- Strong problem-solving skills and ability to learn quickly in fast-evolving AI domains
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Microsoft Security (MSEC) is seeking an AI Engineer II to help design and build AI-native systems that enable customers to securely adopt AI at enterprise scale.
This role sits at the intersection of AI engineering and real-world application, where you will contribute to building intelligent systems that transform signals across identity, devices, data, applications, and infrastructure into actionable insights and automation.
You will work as part of a collaborative engineering team to develop, deploy, and improve AI systems—from model development and data pipelines to production deployment and monitoring—while growing your expertise in modern AI technologies and enterprise systems.
Responsibilities
Responsibilities
AI Systems & Model Development
Contribute to building AI/ML models, including LLM-based and RAG systems, to solve customer and business problems.
Implement components of AI-driven systems and workflows, translating requirements into working solutions.
Assist in transforming multi-source data into contextual intelligence and automation pipelines.
Data & MLOps Foundations
Build and maintain data pipelines, ETL workflows, and training datasets for AI model development.
Support deployment of models using MLOps practices (CI/CD, basic model versioning, containerized environments).
Monitor and troubleshoot AI systems for performance, reliability, and data quality issues.
AI Readiness & Customer Solutions
Contribute to building AI-powered solutions and tools that help customers adopt AI capabilities securely and effectively.
Support implementation of AI readiness metrics, telemetry, and reporting under guidance from senior engineers.
Assist in integrating AI capabilities into services, APIs, and applications.
Builder Mindset & Growth
Demonstrate a builder mindset with a bias for action, rapidly prototyping features and iterating based on feedback.
Learn to operate in ambiguous problem spaces, breaking down tasks into incremental deliverables.
Continuously improve through experimentation, debugging, and telemetry-driven insights.
Collaboration & Execution
Collaborate with engineering, data science, and product teams to deliver AI-driven features and solutions.
Participate in design discussions, code reviews, and team execution processes.
Contribute to integration efforts across systems, services, and APIs.
Engineering Excellence
Write clean, maintainable, and well-tested code for AI systems and data pipelines.
Document system design, model behavior, and implementation details for team knowledge sharing and maintainability.
Follow best practices for security, compliance, and responsible AI development.
Qualifications
Required Qualifications:
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications:
Experience building or contributing to AI/ML models or data-driven systems.
Programming experience in Python or similar languages for AI development.
Understanding of machine learning fundamentals and data processing workflows.
Experience with LLMs, RAG pipelines, or vector databases (coursework or project experience acceptable).
Exposure to MLOps practices (CI/CD, model deployment, monitoring).
Familiarity with cloud platforms (Azure preferred) for AI/ML workloads.
Strong problem-solving skills and ability to learn quickly in fast-evolving AI domains.
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $85,400 - $168,100 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $111,100 - $183,700 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.