below marketmost similar roles pay hereabove market
This role pays more than
63%
of similar roles. Most pay
$174,600–$231,000
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$203k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
The Principal Software Engineer - Responsible AI (CoreAI) joins the Responsible AI group to build customer-facing AI services with scalable, sustainable architecture. This role involves designing and developing large-scale distributed cloud services that ensure high availability, low latency, and robustness. You will own the end-to-end development lifecycle, drive a DevOps culture, and lead project development by collaborating with scientists and product managers. Key responsibilities include evaluating alternative architectures, performing code reviews, and integrating with services like Azure AI Content Safety and Azure OpenAI Service. Candidates must possess technical engineering experience in languages such as C, C++, C#, Java, JavaScript, Go, or Python. The work focuses on identifying, measuring, mitigating, and monitoring Responsible AI risks across text, image, audio, video, and multimodal content.
What does a Software Engineer earn?
Median $197400 from 2576 postings across 150 companies.
Design and develop large-scale distributed cloud services with a focus on high availability and scalability.
Lead project development and coordinate with stakeholders to drive development and release plans.
Evaluate alternative architectures and technologies to meet specific business requirements and service KPIs.
Manage the end-to-end development lifecycle and production readiness of all built services.
Uphold modern software engineering best practices through rigorous code and design reviews.
Make effective service decisions based on data, telemetry, and observability.
Integrate new AI services with existing platforms like Azure AI Content Safety and Azure OpenAI.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of technical engineering experience with coding in languages like C, C++, C#, Java, JavaScript, Go, or Python (or equivalent experience).
Ability to meet Microsoft, customer, and/or government security screening requirements, including a Microsoft Cloud Background Check.
6+ years of technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems (preferred).
4+ years of technical engineering experience with machine learning model development, release, and operations (preferred).
Ability to navigate the company and influence and inspire peers in engineering and broad product development (preferred).
Depth of knowledge and understanding of software architecture, design tradeoffs, and practices of mature DevOps culture (preferred).
Track record of pursuing and delivering innovative insights that translate to value generation (preferred).
Azure AI
Python
C++
C#
Java
JavaScript
C
Azure OpenAI
Azure ML
CI/CD
DevOps
Distributed Systems
Machine Learning
Azure AI Studio
Azure AI Content Safety
Software Development Lifecycle
Observability
Telemetry
Python
C++
C#
Java
Go
C
JavaScript
Distributed Systems
Machine Learning
Artificial Intelligence
Cloud Services
System Design
Observability
Scalability
Security
Privacy
Compliance