Software Engineer 2

Microsoft•Redmond, WA

About The Position

Microsoft's CoreAI organization builds the end-to-end AI stack, driving innovation in Azure AI and Microsoft's flagship products. The Foundry team empowers builders to create AI apps, while the Responsible AI group focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks across various content types. This role is for a Software Engineer 2 - Responsible AI, who will contribute to building customer-facing AI services with scalable, sustainable architecture, high performance, low latency, and high availability. The engineer will collaborate with a team of engineers, scientists, and product managers to develop industry-leading Responsible AI services, owning the design of new AI services and integration with existing ones like Azure AI Content Safety and Azure OpenAI Service. Microsoft's mission is to empower every person and organization on the planet to achieve more, fostering a culture of inclusion, growth mindset, and collaboration.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements.
Must pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Experience designing and delivering highly available, large-scale cloud services and distributed systems.
Experience with machine learning model development, release, and operations.
Demonstrate depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture.
Experience using appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner.
Experience in any one or more of the following areas: Safety and governance platforms for AI models and agents, Inference, routing, orchestration, and policy enforcement systems, Evaluation, red teaming, and monitoring infrastructure for AI systems, Deployment automation, CI/CD, and compliance tooling (e.g., zero‑manual‑effort deployments), Multimodal safety infrastructure (image, video, audio, provenance), Agent governance and control‑plane capabilities.

Responsibilities

Design and develop large-scale distributed cloud services and solutions with a focus on high availability, scalability, robustness, and observability.
Lead project development across the organization and work with subject matter experts and stakeholders to drive development and release plans.
Take end-to-end responsibility for the development lifecycle and production readiness of the services you build and drive the team’s DevOps culture.
Drive and uphold the best practices of modern software engineering through code and design reviews and take effective service decisions based on data and telemetry.
Understand Microsoft businesses and collaborate with stakeholders towards cohesive, end-to-end experiences for Microsoft customers.
Embrace a growth mindset and stay up to date with the current and state-of-the-art technologies to improve customer experience and better serve the product’s business needs.