This role pays more than
57%
of similar roles. Most pay
$184,932–$231,000
— the shaded band above.
At the midpoint, this role pays about
$209k
versus about
$208k
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
668 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 647 roles with salary data.
As a Principal Software Engineer on the Customer Experience Applications team, you will serve as a technical leader driving the architecture, design, and implementation of AI-first experiences for the Dynamics 365 Sales and Service platform. You will build production-ready solutions utilizing large language models, natural language understanding, speech, and real-time reasoning to enhance agent productivity and customer satisfaction. Your daily work involves collaborating with cross-functional teams to manage model integration, scalability, and MLOps practices while mentoring other engineers. The role requires expertise in C#, Python, Java, or JavaScript, along with experience in RAG pipelines, transformers, and containerized services using Kubernetes or Docker. You will solve complex enterprise challenges by integrating Azure AI and OpenAI tools into scalable systems to transform customer service operations through intelligent, secure, and multi-channel communication channels.
What does a Software Engineer earn?
Median $196750 from 2004 postings across 147 companies.
Own the architecture, strategy, and execution of AI-powered features across the Dynamics 365 platform.
Design and deliver production-ready solutions using LLMs, natural language understanding, and real-time reasoning.
Lead complex technical initiatives involving AI model integration, platform scalability, and long-term maintainability.
Establish high standards for code quality, observability, testing, MLOps, and secure deployment practices.
Identify technology gaps and evaluate emerging AI frameworks and tools to champion adoption.
Mentor engineers across all levels to foster a culture of innovation and continuous learning.
Act as a technical advisor for cross-team initiatives and long-term architectural planning.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 6+ years of engineering experience in languages like C, C++, C#, Java, JavaScript, or Python (or equivalent).
2+ years of experience delivering AI/ML-based systems at production scale, including LLMs, transformers, RAG pipelines, or similar architectures.
Demonstrated experience leading engineering teams or cross-functional initiatives involving AI systems in cloud environments.
Ability to pass Microsoft Cloud background checks.
8+ years of hands-on software engineering experience with deep expertise in C#, Python, Java, or equivalent (preferred).
Proven track record of designing and deploying AI-first applications at scale within enterprise SaaS constraints (preferred).
Expertise in MLOps/LLMOps, including model versioning, retraining pipelines, A/B testing, monitoring, and rollout strategies (preferred).
Deep knowledge of cloud platforms like Azure and experience with containerized services using Kubernetes or Docker (preferred).
Python
Large Language Models
Prompt Engineering
LangChain
SageMaker
Vert.x
DialogFlow
AWS
GCP
React
Angular
SwiftUI
Kotlin
Java
TypeScript
Spring
Express
NodeJS
Distributed Systems
Full-stack Development