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.
Skills Required
- Bachelor's Degree in Computer Science or related technical discipline OR equivalent experience.
- Proven experience coding in languages including C, C++, C#, Java, JavaScript, or Python.
- 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.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
