This role pays more than
75%
of similar roles. Most pay
$176,400–$232,262
— the shaded band above.
At the midpoint, this role pays about
$231k
versus about
$204k
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
598 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 586 roles with salary data.
As a Principal Software Engineer, AI Content Systems, you will join the Content team to define and lead the technical direction for next-generation intelligent, large-scale content platforms. You will be responsible for shaping multi-year technical strategy, driving architectural coherence across organizations, and building distributed backend systems, cloud-native infrastructure, and data platforms that prioritize availability, latency, security, and cost efficiency. Your daily work involves integrating LLM-powered capabilities into production systems by establishing patterns for retrieval, orchestration, evaluation, and responsible AI. You will navigate complex, ambiguous spaces to build scalable platform components rather than isolated features. The role requires expertise in C, C++, C#, Java, JavaScript, or Python, alongside experience in search, recommendation, retrieval, or ML systems. You will solve the challenge of embedding reliable, high-scale AI capabilities into foundational platforms for diverse product surfaces.
What does a Software Engineer earn?
Median $197500 from 2196 postings across 133 companies.
Define and lead multi-year technical strategies for large-scale distributed systems across multiple organizations.
Establish architectural principles and standards to ensure consistency, scalability, and maintainability across services.
Architect backend services and cloud-native infrastructure that meet strict requirements for availability, latency, and cost efficiency.
Integrate LLM-powered capabilities into core platform architectures using established patterns for retrieval, orchestration, and evaluation.
Design evaluation frameworks to measure quality, safety, reliability, and business impact of AI systems.
Influence technical direction and align engineering, product, and science teams on shared platform goals.
Mentor senior engineers and lead complex, multi-team initiatives from concept through delivery.
What we're looking for
Bachelor's Degree in Computer Science or related field and 8+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python.
Master's Degree in Computer Science and 12+ years of experience, or a Bachelor's Degree and 15+ years of experience (preferred).
Proven track record of architecting and delivering large-scale distributed systems or platforms used by millions of users.
Deep expertise in backend systems, cloud-native architecture, and service-oriented or microservices-based design.
Experience owning production systems with high availability, low latency, and solid operational rigor.
Demonstrated ability to drive technical strategy and influence across multiple teams or organizations.
Experience designing and scaling LLM-powered applications, AI agents, or intelligent platforms in production (preferred).
Prior experience with Search, Recommendation, Retrieval, or ML Systems (preferred).
Distributed Systems
Data Governance
C
C++
C#
Java
JavaScript
Python
Storage Systems
Data Processing
Data Lifecycle Management
Compliance
Architecture Strategy
Data Residency