This role pays more than
68%
of similar roles. Most pay
$149,500–$190,375
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$170k
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
653 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 617 roles with salary data.
As a Senior Software Engineer on the Project Perception team, you will design and build AI-native systems and services to address complex cybersecurity problems at enterprise scale. You will architect, implement, and evolve end-to-end solutions including model integration, orchestration, and system-level decision-making. Your daily work involves building agentic AI systems that reason and plan across security workflows while operationalizing capabilities for reliability, scalability, and cost efficiency. To solve these challenges, you will utilize large language models, embeddings, vector stores, and retrieval-augmented generation. The role requires proficiency in programming languages such as C, C++, C#, Java, JavaScript, or Python. You will collaborate with product management, data science, and security research teams to develop products that provide automated penetration testing, defense, and security posture hardening for diverse enterprise environments.
What does a Software Engineer earn?
Median $196000 from 2245 postings across 149 companies.
Design and build AI-native systems and services to solve real-world cybersecurity problems at enterprise scale.
Architect and implement end-to-end AI solutions including model integration, orchestration, and system-level decision-making.
Evaluate and integrate various AI models and architectures to determine the best fit for specific security scenarios.
Build and operate agentic AI systems capable of reasoning and planning across complex security workflows.
Operationalize AI capabilities by ensuring reliability, scalability, observability, cost efficiency, and safe production deployment.
Utilize large language models, embeddings, vector stores, and retrieval-augmented generation to solve complex security challenges.
Manage the full lifecycle of AI features from initial design through implementation, monitoring, and continuous improvement.
What we're looking for
Bachelor's Degree in Computer Science or a related technical discipline and 4+ years of engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass Microsoft background and Microsoft Cloud background checks.
Master's Degree in Computer Science or related field and 6+ years of technical engineering experience (preferred).
Bachelor's Degree in Computer Science or related field and 8+ years of technical engineering experience (preferred).
Experience building and shipping AI features for world-class production systems (preferred).
Hands-on experience with programming languages such as Python, C#, Java, C++, or equivalent (preferred).
Experience communicating and collaborating effectively within a multidisciplinary team (preferred).
Distributed Systems
PaaS
Java
Python
Spark
Spark SQL
Spark Streaming
Big Data
Service-Oriented Architecture
Web Services Security
Object-Oriented Design
SDK Development
Agile
Scripting Languages