Microsoft

Senior Software Engineer, Security AI

Microsoft$119K — $234K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science or related field OR equivalent experience with 4+ years of technical engineering experience in coding languages such as C, C++, C#, Java, JavaScript, or Python.
  • Master's degree or PhD in related field OR equivalent industry experience (preferred).
  • Experience building multi-agent systems, orchestration layers, or autonomous workflows in production environments (preferred).
  • Knowledge of large language model evaluation, responsible AI controls, and model safety practices (preferred).
  • Familiarity with cloud security, threat detection, and vulnerability management (preferred).
  • Experience with Azure services, Kubernetes, and telemetry/analytics systems (preferred).
  • Demonstrated ability to influence engineering decisions and drive solutions from design to production.
  • Candidates must meet proprietary security screening requirements.

Responsibilities

  • Design and operate AI-powered services for security engineering and operations workflows.
  • Develop AI-enabled workflows to enhance information analysis and decision-making for engineering and security teams.
  • Build scalable systems utilizing AI techniques like embeddings and semantic search to address security scenarios.
  • Implement evaluation and monitoring for AI systems to ensure quality and performance.
  • Collaborate with cross-functional teams to translate AI advancements into reliable platform capabilities.
  • Contribute to service architecture and operational excellence across various technical domains.
  • Engage in design reviews and incident investigations to enhance system reliability.
  • Leverage data and feedback for continuous improvement of AI capabilities.

Benefits

  • Opportunity to work at Microsoft with advanced security technology.
  • Exposure to interdisciplinary collaboration with engineering, security, and product teams.
  • Engagement in cutting-edge AI research and practical applications.
  • Opportunity for professional growth and technical mentorship.
  • Participation in detailed design processes and high-impact decision-making.
Full Job Description
Responsibilities
  • Design, build, test, and operate AI-powered services that support security engineering and security operations workflows.
  • Develop AI-enabled workflows that help engineering and security teams analyze information, retrieve relevant context, summarize findings, and make faster, higher-quality decisions.
  • Build scalable systems that use large language models, retrieval-augmented generation, embeddings, semantic search, knowledge graphs, and related AI techniques to support security scenarios.
  • Implement evaluation, monitoring, and telemetry capabilities to measure AI system quality, reliability, performance, and safety.
  • Partner with engineering, applied science, product, security operations, and other teams to translate AI advances into practical, secure, durable and reliable platform capabilities.
  • Contribute to service architecture, APIs, testing, observability, reliability, scalability, and operational excellence.
  • Participate in technical design reviews, architecture discussions, code reviews, and incident investigations.
  • Use data, telemetry, partner feedback, and operational learnings to continuously improve AI capabilities, system reliability, and platform impact.


Qualifications

Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.


Other Requirements:

Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


Preferred Qualifications:
  • Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related technical field,
    • OR equivalent industry experience.
  • Experience building multi-agent systems, tool-use frameworks, orchestration layers, autonomous workflows, or AI copilots in production environments.
  • Experience with vector databases, embeddings, semantic search, knowledge graphs, entity resolution, ranking, summarization, or context-grounding systems.
  • Experience with LLM evaluation, responsible AI, model safety, hallucination mitigation, prompt injection defense, model monitoring, or AI governance controls.
  • Experience with cloud security, security operations, threat detection, incident response, vulnerability management, identity and access systems, or security data platforms.
  • Experience with Azure services, Azure AI, Azure OpenAI, Microsoft Defender, Sentinel, Kusto, Kubernetes, or large-scale telemetry and analytics systems.
  • Demonstrated ability to drive technical solutions from design through production, influence engineering decisions within a team or project area, mentor peers, and deliver measurable customer or business impact.


Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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