This role pays more than
69%
of similar roles. Most pay
$149,500–$188,277
— the shaded band above.
At the midpoint, this role pays about
$177k
versus about
$169k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Senior Software Engineer on the Surface Engineering team, you will design, build, and operate AI-powered software platform services to strengthen security and improve engineering productivity. You will develop AI-enabled workflows for information analysis and decision-making while building scalable systems utilizing large language models, retrieval-augmented generation, embeddings, semantic search, and knowledge graphs. The role involves creating evaluation and monitoring approaches to ensure the reliability of AI systems in production environments while incorporating responsible AI and compliance considerations into your designs. You will work with various teams to translate advanced research into durable platform capabilities. Required skills include proficiency in languages such as C, C++, C#, Java, JavaScript, or Python, along with experience in cloud-native architectures, Azure, API design, distributed systems, and security practices like threat modeling and vulnerability management.
What does a Software Engineer earn in Washington?
Median $202800 from 326 postings across 28 companies.
Design, build, and operate AI-powered software platform services for security engineering.
Develop AI-enabled workflows to help teams analyze information and make faster decisions.
Build scalable systems using LLMs, RAG, embeddings, and semantic search for security scenarios.
Create evaluation and monitoring methods to assess AI system quality and safety in production.
Translate advanced AI research into practical, secure, and reliable platform capabilities.
Integrate responsible AI, privacy, and compliance standards into the design of AI systems.
Provide technical leadership through architecture discussions, design documents, and code reviews.
What we're looking for
Bachelor's degree in Computer Science or related field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Master's degree in Computer Science or related field and 6+ years of technical engineering experience with coding in various programming languages.
Bachelor's degree in Computer Science or related field and 8+ years of technical engineering experience with coding in various programming languages.
5+ years of experience building cloud services and distributed systems.
Experience with Azure, cloud-native architectures, APIs, and platform engineering.
Knowledge of application security, threat modeling, vulnerability management, identity and access management, or software supply chain security.
Experience building AI-enabled applications using LLMs, RAG, vector search, agents, or related technologies.
Proficiency in system design, problem-solving, and cross-functional collaboration.