Senior Software Engineer

Lead the design, implementation, testing, deployment, and operation of AI-powered features in PowerPoint for the web, driving delivery from early prototypes through production at global scale. Own technical areas across the PowerPoint for the web stack, including front-end experiences, client architecture, and integration with AI and agent services, and contribute to technical direction for the engineers working in those areas. Lead technical designs and evaluate architectural trade-offs related to performance, scalability, reliability, maintainability, security, privacy, AI safety, and cost. Apply secure-by-design engineering practices, including threat modeling, secure coding, dependency management, security testing, and appropriate mitigations for AI-specific risks such as prompt injection, data exfiltration, and unsafe agent actions. Define and drive quality strategies for owned features, including automated testing, AI evaluation, telemetry, monitoring, performance measurement, and appropriate success and guardrail metrics. Drive safe deployment and production readiness for owned areas using deployment automation, feature flags, staged rollouts, monitoring, validation, and rollback mechanisms. Act as a Designated Responsible Individual (DRI) for owned areas and help drive incident response, mitigation, root-cause analysis, and follow-up improvements that strengthen service reliability and prevent recurrence. Work closely with Product Management, Design, Research, Applied Science, Security, and Privacy partners to translate ambiguous customer needs and emerging AI technologies into product direction and actionable technical plans. Use AI-assisted development tools and practices throughout the software development lifecycle while reviewing, validating, and taking responsibility for AI-generated code, designs, tests, and other engineering artifacts. Drive alignment with partner teams on dependencies, shared components, APIs, architecture, security

requirements, and engineering patterns needed to deliver end-to-end customer experiences. Identify opportunities to improve performance, reliability, maintainability, security, developer productivity, and engineering efficiency within owned areas. Review technical designs and code, provide actionable technical feedback, and mentor engineers to improve engineering quality, security, reliability, and technical decision-making. 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. Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript/TypeScript, or Python OR equivalent experience. Experience designing and delivering complex web applications, client architectures, or large-scale production services. Experience developing AI or LLM-powered product experiences, including integration with language models, multimodal models, agents, tool use/function calling, or related AI technologies. Experience with AI security and safety practices, such as threat modeling, prompt-injection defenses, data protection, agent security, or evaluation and guardrail systems. Experience defining testing, evaluation, telemetry, and quality strategies for AI-powered features or production software. Experience evaluating performance, scalability, reliability, security, and architectural trade-offs in complex production systems. Experience leading technical designs across multiple components, driving cross-team technical alignment, and delivering features from design through production. Experience mentoring engineers and contributing to improvements in engineering quality, security, reliability, or development practices. Effective communication skills and experience collaborating across Engineering, Product Management, Design, Applied Science, Research, Security, and Privacy teams.