Senior Software Engineer - AI for Security
Microsoft
Senior Software Engineer - AI for Security
Multiple Locations, United States
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Overview
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
The Microsoft Security AI Research team is responsible for defending Microsoft and our customers through applied AI innovation. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
Defending Microsoft’s complex environment provides a unique opportunity to build and evaluate autonomous defense and offense through emerging generative AI capabilities. Microsoft understands and learns from its own defensive and offensive expertise, including via teams like Microsoft’s Threat Intelligence Center and Microsoft’s Red Team, and has the opportunity to build a unique knowledge graph describing the relationship between risk, investigation, and response. This data, built over Microsoft’s complex digital estate, along with Microsoft AI forms the foundation for innovative solutions to defend Microsoft.
The Microsoft Security AI Engineering team is responsible for developing industry-leading, AI-driven security solutions to safeguard Microsoft and its customers. Our team brings together deep expertise in large-scale artificial intelligence, autonomous agents, and generative models to address emerging security threats in Microsoft’s complex and rapidly evolving digital environment. Defending one of the world’s most diverse enterprise environments offers an unparalleled opportunity to build, deploy, and assess autonomous red teaming and defense capabilities using cutting-edge AI techniques. Microsoft understands and learns from its own defensive and offensive expertise, including via teams like Microsoft’s Threat Intelligence Center and Microsoft’s Red Team, and has the opportunity to build a unique knowledge graph describing the relationship between risk, investigation, and response. This data, built over Microsoft’s complex digital estate, along with Microsoft AI forms the foundation for innovative solutions to defend Microsoft and its customers. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.
We are looking for a Senior Software Engineer to join our multi-disciplinary team to reshape how we defend Microsoft and its customers. You will establish and build processes and structures to empower research scenarios: from data engineering, construction of training data sets, creation of new telemetry sources, building of knowledge graphs, scalable infrastructure, and creation of agentic AI systems or new security-focused language models. You will design, implement and maintain software systems for autonomous defense, offense and incident response. You would be responsible for working together with applied scientists and security researchers to design, implement and maintain systems to solve real-world scenarios and challenges. For those passionate about making a meaningful impact in the security industry, don’t miss this opportunity to join the team working on the latest AI technology and applicability.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
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.
- 2+ years of experience building, scaling, and operating Azure cloud services.
- 2+ years of relevant industry experience driving research incubations to Production to drive real world impact.
- 2+ years of experience building customer solutions or open-source projects using ML/generative AI and/or multi-agent frameworks such as AutoGen, LangChain, LangGraph, crewAI, or equivalent.
Other Requirements
Ability 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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- Experience with training and fine-tuning of transformer-based models, information retrieval or reinforcement learning
- Experience in safety and ethical aspects of AI.
- Experience with MLOps. Experience in working with large-scale datasets.
- Experience in cyber security and safety domains, such as malware detection, fraud prevention, cyber-physical systems, adversary tradecraft, emerging threats or SOC operations
- Experience with code contributions to products and/or open-source projects.
- Experience with large-scale data processing and distributed compute tools such as Cosmos, Azure Data Explorer, Kusto, Azure Data Factory, Azure AML pipelines, Spark, Synape, or Dask.
- Experience with building and deploying services on Azure including Azure Functions, Azure Containers, Azure DevOps pipelines, Github actions, Github Codespaces, and Jupyter Notebooks.
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 $158,400 - $258,000 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
Microsoft will accept applications for the role until October 12, 2025
#MSFTSecurity #MSECAI #LLMs #GenerativeAI #AutonomousAgents #AppliedScience #MSecADAPT
Responsibilities
- Acts as enablers to applied scientists and security researchers by creating software systems, infrastructure, services, and data pipelines using cloud technologies.
- Collaborate with researchers on the design, development, execution, and implementation of software projects that serve Microsoft Defenders.
- Research AI technologies to develop cutting-edge AI based solutions for Microsoft Defenders.
- Research and develop an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency.
- Incorporate state-of-the-art research or previously tested solutions occurring at Microsoft and academia and tune it to solve complex security challenges.
- Produce reliable and performant code and conduct design and code reviews to ensure alignment with standards and best practices.
- Follow release management policies to ensure data integrity, compliance, and system stability.