Software Engineers II / Senior Software Engineers - Applied AI, Enterprise Platforms
Microsoft
- Location
- United States, Washington, Redmond
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 2,066 approvals (FY2023)
- Posted
- 2h ago
Skills
About this role
Overview
Microsoft Digital (MSD) builds and operates the critical products, services, and enterprise platforms that Microsoft runs on. We combine deep technical and business expertise with first-hand experience at global scale to help Microsoft teams work smarter, faster, and more securely. Our engineers, technology leaders, digital transformation agents, and customer advocates pursue bold ideas that advance Microsoft and create value for our customers. We are hiring for multiple Software Engineers II and a Senior Software Engineer for these exciting opportunities in MSD! These roles will design, build, modernize, and operate intelligent enterprise solutions across Microsoft Digital, including legal and compliance workflows, employee and workplace experiences, support and service management, campus and operational services, contracts, litigation, eDiscovery, immigration, nonprofits, and related corporate functions. You will work at the intersection of software engineering, artificial intelligence, cloud platforms, workflow automation, and enterprise transformation. You will partner with product managers, data scientists, architects, legal and compliance professionals, support organizations, and business stakeholders to deliver secure, scalable platforms that automate complex work and enable AI-powered and agentic experiences. Solutions may include reusable AI services and orchestration frameworks; cloud-native applications, APIs, microservices, and event-driven systems; and integrations with Microsoft 365 Copilot, Teams, Power Platform, Azure, Dynamics 365, Dataverse, Microsoft Fabric, Microsoft Purview, AI Machine Learning and other enterprise services. This opportunity offers hands-on experience building production-grade platforms with high-trust security and compliance requirements, live-site and quality-of-service rigor, and an AI-first mindset. You will help transform traditional processes into proactive, self-service, data-driven experiences while advancing Microsoft’s Digital First strategy, employee productivity, and business outcomes at global scale. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. 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.
Responsibilities
Design, develop, and operate scalable software solutions that use large language models, AI agents, orchestration frameworks, enterprise data platforms, and modern application technologies. Build intelligent agents, copilots, and automation that can reason, plan, and take action across enterprise systems, including document processing, decision flows, user interactions, employee support, knowledge management, procurement, compliance, legal operations, and other business processes. Lead or contribute to system design, technical specifications, architecture standards, engineering roadmaps, and design reviews; identify dependencies and align solutions with platform, security, privacy, accessibility, governance, and compliance requirements. Create reusable platforms, frameworks, components, and services that accelerate the development and deployment of intelligent solutions across multiple business domains. Design and implement cloud-native, API-first architectures using Azure services, microservices, distributed and event-driven patterns, real-time data processing, and resilient enterprise integration approaches. Translate ambiguous business and user requirements into scalable technical solutions with measurable impact; identify high-value automation opportunities in partnership with product, legal, support, operations, and engineering stakeholders. Implement high-quality, maintainable code; reuse and extend existing components where appropriate; and drive engineering excellence through