below marketmost similar roles pay hereabove market
This role pays less than
60%
of similar roles. Most pay
$142,450–$208,800
— the blue band above.
At the midpoint, this role pays about
$152k
versus about
$176k
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
585 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 561 roles with salary data.
As a Software Engineering, CoreAI team member, you will work on advancing Azure Content Understanding, a multimodal AI capability designed to transform unstructured data like text, documents, audio, images, and video into structured insights. You will design, build, and operate production-grade generative AI and multimodal systems with end-to-end ownership from concept through deployment. Your daily work involves technical design for core capabilities such as retrieval-augmented generation, context engineering, memory, and orchestration while making data-driven tradeoffs regarding quality, latency, cost, and safety. You will utilize programming languages including C, C++, C#, Java, JavaScript, or Python to develop systems. The role requires expertise in prompt engineering, MLOps practices, and evaluation frameworks to ensure robust testing. You will also collaborate with partners to ensure solutions meet enterprise security, privacy, and compliance standards for multimodal data processing.
What does a Software Engineering earn?
Median $177250 from 36 postings across 12 companies.
Design, build, and operate production-grade generative AI and multimodal systems from concept through deployment.
Develop core GenAI capabilities including retrieval-augmented generation, context engineering, and memory orchestration.
Make data-driven trade-offs regarding system quality, latency, cost, and safety.
Improve model and system quality using evaluation frameworks, experiment design, and production telemetry.
Ensure robust testing and regression coverage for all deployed systems.
Build solutions that comply with security, privacy, and Responsible AI standards.
Translate customer requirements into well-designed APIs and developer experiences.
Create documentation and samples to drive product adoption.
What we're looking for
Bachelor's Degree in Computer Science or related technical field and 2+ years of experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
Ability to pass Microsoft Cloud background checks and other required security screenings.
Master's Degree in Computer Science or related field and 4+ years of engineering experience (preferred).
Bachelor's Degree in Computer Science or related field and 6+ years of engineering experience (preferred).
Advanced degree in Computer Science, Machine Learning, or a related field (preferred).
Experience with prompt engineering, retrieval-augmented generation (RAG), and memory/agent frameworks (preferred).
Experience building and shipping generative AI systems, including multimodal scenarios (preferred).
Experience with MLOps, enterprise AI compliance, and delivering scalable products (preferred).
Azure SQL
SQL
C#
Python
Java
C++
C
JavaScript
Distributed Systems
SRE
Schema Design
Data Migration
Performance Tuning
Capacity Planning
geo‑replication
Failover Groups
Root Cause Analysis
Telemetry
Automation