below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$149,500–$178,175
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$164k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
As a Senior Software Engineer on the Microsoft Communications team, you will join the Communications AI Lab to build and scale AI-powered tools that help communicators understand audiences and create content. You will own features from prototype to adoption, developing agents, workflow automations, and data integrations for research, media intelligence, and narrative analysis. Your daily work involves writing, testing, and documenting maintainable code while integrating internal and external data sources via secure APIs. You will utilize C, C++, C#, Java, JavaScript, or Python, alongside experience with Large Language Models, retrieval, and tool calling. You will also leverage Microsoft Azure, Copilot, and Power Platform to solve business problems, establishing practical patterns for responsible AI usage, accuracy, grounding, and safety across the global organization.
What does a Software Engineer earn?
Median $197400 from 2576 postings across 150 companies.
Build agents, workflow automations, data integrations, and applications for communications needs like research and narrative analysis.
Partner with users to clarify requirements, create prototypes, and improve solutions based on measurable outcomes.
Write, test, debug, and document maintainable code for production-minded solutions.
Integrate internal and external data sources using secure APIs and authentication methods.
Develop evaluation frameworks for AI accuracy, reliability, grounding, safety, and usefulness.
Implement validation, error handling, access controls, monitoring, and human review processes.
Create technical documentation and reusable components to enable faster and more consistent future development.
Collaborate with security, privacy, and legal stakeholders to ensure compliance with Microsoft standards.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 4+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, or Python.
Equivalent experience to the required degree and years of experience.
Experience building and shipping software, automation, data products, or AI-enabled applications beyond the prototype stage (preferred).
Experience with Large Language Models, agents, retrieval, tool calling, structured outputs, or related AI application patterns (preferred).
Experience with APIs, authentication, enterprise data sources, testing, debugging, and source control (preferred).
Experience building internal enterprise tools or workflow products in collaboration with nontechnical users (preferred).
Experience evaluating AI systems for quality, grounding, safety, reliability, and user value (preferred).
Experience with Microsoft Azure, Microsoft 365, Copilot, GitHub Copilot, Copilot Studio, Power Platform, or comparable technologies (preferred).
Java
Python
Go
C++
C#
Kubernetes
Docker
RESTful APIs
CI/CD
Linux
Oracle Cloud Infrastructure
Distributed Systems
GitHub Copilot
Codex
Claude Code
Infrastructure Automation
Service Observability