Microsoft

Principal Software Engineer - CoreAI

Microsoft$142K — $274K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or a related field with 6+ years of technical engineering experience in languages such as C, C++, C#, Java, JavaScript, or Python.
  • Experience leading software engineering and analytics projects with measurable outcomes.
  • Proven ability to architect and manage large-scale data pipelines in cloud environments, ideally Azure.
  • Solid understanding of data governance, privacy, and security best practices, especially in regulated settings.
  • Strong communication skills to effectively convey technical concepts to diverse audiences.

Responsibilities

  • Lead and mentor teams to produce maintainable code across the company.
  • Coordinate with stakeholders to manage project plans and deliver multiple products.
  • Define and oversee data and analytics architecture for CoreAI and Foundry platforms.
  • Design and optimize robust data pipelines for analytics initiatives.
  • Ensure data quality and compliance through governance best practices.
  • Collaborate with teams to craft technical solutions that meet business needs.
  • Drive the creation of self-service analytics tools for streamlined data access.

Benefits

  • Access to industry-leading benefits package.
  • Opportunities for professional growth and development.
  • Collaboration with talented cross-functional teams.
  • Involvement in cutting-edge AI and analytics projects.
Full Job Description
Overview

We9re looking for a Principal Software Engineer - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft9s developer-focused AI suite and drives product growth.

Responsibilities
  • Leads by example and mentors9 others to produce extensible and maintainable code used across the company.
  • Leverages deep subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to lead multiple product9s project plans, release plans, and work items.
  • Own and define end-to-end data and analytics architecture for CoreAI and Foundry platforms, setting long-term technical direction for scalable, reliable, and cost-effective analytics supporting AI workloads.
  • Design, build, and optimize large-scale, robust data pipelines and architectures that support CoreAI9s analytics initiatives.
  • Data Governance & Trust: follow best practices for data quality, lineage, security, and compliance.
  • Collaborate with stakeholders to define trustworthy data sets and implement rigorous data validation protocols, ensuring CoreAI9s analytics are both accurate and auditable.
  • Analytics Enablement: Partner with data scientists, analysts, and business leaders to translate business needs into technical solutions.
  • Enable self-service analytics and empower teams by building data models, semantic layers, and tools that streamline access to trusted information.
  • Cross-Functional Collaboration: Work closely with product managers, software engineers, AI researchers, and business stakeholders to align data solutions with business goals.
  • Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
  • Mentor other software engineers, engineers, and PMs.
  • Leverage AI to accelerate workflows and amplify team productivity.


Qualifications

Required/Minimum Qualifications:

  • Bachelor9s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.


Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


Preferred/Additional Qualifications:

  • 5+ years of experience leading software engineering and analytics projects that delivered measurable product and growth wins.
  • Deep experience architecting and operating large scale data pipelines in cloud environment, preferably Azure.
  • Ability to write clean, working code using core algorithms, data structures, and analytics-oriented problem-solving.
  • Understanding of data governance, privacy, lineage, and security best practices, especially within highly regulated or enterprise environments.
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical audiences.
  • Experience using AI tools in software engineering, data science, and analytics workflows.
  • Experience both prototyping and deploying data products.


Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ

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