Senior Software Engineer

The Microsoft Communications team is transforming how communicators use artificial intelligence to understand audiences, create content, measure impact, and make decisions. The Communications AI Lab helps teams testnew ideas, learn quickly, and turn the most useful experiments into practical capabilities that can be reused across the organization.

As a Senior Software Engineer on the Microsoft Communications team,you will build andscaleAI-powered toolstoenable communicators to experiment rapidly, learn from data, and turn proven concepts into everyday capabilities.You willcollaborate closelywith communicators, data andinsightsprofessionals, and engineering partners to transformwell-scoped business problems into working solutions. You will own features and projects from prototype through adoption,while workingwith technical partners across the organizationwhen the work requires broader architecture or organizational alignment.

This opportunity will allow you to apply modern AI engineering to real communications and business challenges, develop production-minded solutions in a fast-moving environment, and helpestablishpractical patterns for responsible AI usageacross a global organization.

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.

• 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.

• Implementappropriate 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.

• Partner with communications, product, engineering, security, privacy, legal, and Responsible AI stakeholders to resolve issues and ensure compliance with Microsoft standards.

• Collaborate with external suppliers and partners to design and develop third-party solutions that meet Microsoft business and technical requirements.

• Embody our culture and values.