Senior Software Engineer
Listed on Microsoft’s official careers site. Posted August 17, 2026. Check that it is still open and apply there.
Apply on Microsoft’s careers site →Job description
Build agents, workflow automations, data integrations, and applications that address defined communications needs, including research, media intelligence, narrative analysis, content workflows, measurement, and knowledge discovery. Partner with users to clarify requirements, create prototypes, gather feedback, and improve solutions based on observed usage and measurable outcomes. Write, test, debug, and document maintainable code.
Integrate approved internal and external data sources using secure APIs and authentication methods. Develop evaluation frameworks for accuracy, reliability, grounding, safety, and usefulness. Implement appropriate validation, error handling, access controls, monitoring, and human review processes. Create clear technical documentation, reusable components, and shared building blocks that enable faster and more consistent future development.
Embody our culture and values. 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. Experience building and shipping software, automation, data products, or AI-enabled applications beyond the prototype stage. Experience with Large Language Models, agents, retrieval, tool calling, structured outputs, or related AI application patterns.
Experience working with application programming interfaces, authentication, enterprise data sources, testing, debugging, and source control. Experience building internal enterprise tools or workflow products in collaboration with nontechnical users. Experience evaluating AI systems for quality, grounding, safety, reliability, and user value. Experience working with communications teams to plan, develop, approve, distribute, and assess their work.
Experience applying machine learning or data techniques to large volumes of text, audience information, or other unstructured business data.
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