Principal Software Engineer, AI Experiences

Posted 6 Days Ago
Be an Early Applicant
Redmond, WA, USA
In-Office
143K-304K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
The Role
Lead full-stack development and technical strategy for Copilot Discover: design, build, and operate scalable ML/deep-learning models and prompt strategies; implement responsive TypeScript/React/NextJS/Web Components front-ends; develop REST APIs and data layers; ensure performance, scalability, and reliability; collaborate across UX, backend, and ML teams; participate in code reviews and architecture decisions.
Summary Generated by Built In
Overview

Are you an established Software Engineer looking for a challenge and ready to tackle strategic cross-organization investments that span Microsoft AI, Office, and Windows to create web experiences for over 1B users and drive daily habit with users? Join us to innovate and create impactful experiences.   

We are looking for a highly skilled Principal Software Engineer (full stack) to join Microsoft AI – Copilot Discover team, who will provide technical leadership to key projects, and collaborate with frontend, backend and ML teams to maintain and deliver key features that will be used across multiple sites. You will develop strategy aligning with stakeholders and execute plans to successfully deliver on commitments. The ideal candidate will be an experienced full stack engineer with knowledge of ML, prompt tuning, modern front end web frameworks like web components/react, cloud-based architecture and services, caching, load-balancing, A/B experimentation. Your responsibilities will include designing, coding and operationalizing experience and services at hyper scale. 

MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. With nearly 30 years of history, MSN has evolved into a premier content destination with high-quality content, AI-powered user-controlled personalization, and massive global reach. Over the past 4 years, AI and Machine Learning technologies have fueled massive growth, transforming MSN’s content moderation, personalization, and content entry points. Learn more about us here.   

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.


Responsibilities
  • Design, build, and operationalize scalable ML and deep learning models using containers and orchestration platforms. Develop and refine LLM prompt strategies, evaluate performance, and continuously optimize model quality and user outcomes.
  • Design, implement, and maintain responsive, accessible, and visually polished user interfaces and full-stack application features. 
  • Build and support front-end applications using TypeScript with frameworks such as React, NextJS, Web Components (or similar), and integrate them with robust back-end services. 
  • Develop scalable REST APIs and data access layers, ensuring efficient, secure, and reliable data flow between client and server. 
  • Collaborate with UX designers, backend engineers, and product teams to translate requirements, wireframes, and prototypes into functional, production-ready solutions. 
  • Optimize applications for performance, scalability, and cross-browser/cross-platform compatibility across the entire stack. 
  • Participate in code reviews, architectural discussions, and continuous improvement of development workflows and engineering standards. 

Qualifications

Required Qualifications:

  • Bachelor's 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.

Preferred Qualifications:

  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 5+ years of direct experience delivering, scaling, and owning highly successful and innovative content products.
  • Proven experience developing and designing multi-tiered distributed services.
  • Hands-on experience with deep learning model deployment and performance tuning.
  • Experience working through full product cycles from initial design to final delivery.
  • Hands-on experience with deep learning model deployment and performance tuning.
  • Familiarity with DevOps practices, CI/CD, and infrastructure-as-code tools.
  • Deep understanding of distributed systems, cloud-native architecture, and microservices.
  • Solid communication and leadership skills with a track record of cross-team collaboration.  
  • Hands-on experience building production applications using React, Web Components or similar front-end frameworks. 

#MicrosoftAI #Software Engineer #ML engineer


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.



Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Skills Required

  • Bachelor's Degree in Computer Science or related field AND 6+ years technical engineering experience coding in languages such as C, C++, C#, Java, JavaScript, or Python (or equivalent experience).
  • Ability to meet Microsoft, customer and/or government security screening requirements including passing the Microsoft Cloud background check.
  • Master's Degree in Computer Science and 8+ years experience OR Bachelor's Degree and 12+ years experience (or equivalent).
  • 5+ years delivering, scaling, and owning large content products.
  • Proven experience developing and designing multi-tiered distributed services and deep understanding of distributed systems, cloud-native architecture, and microservices.
  • Hands-on experience with deep learning model deployment, performance tuning, LLMs, and prompt strategies.
  • Hands-on experience building production front-end applications using TypeScript, React, NextJS, Web Components or similar frameworks.
  • Familiarity with DevOps practices, CI/CD, and infrastructure-as-code tools.
  • Experience working through full product cycles and strong cross-team communication and leadership skills.

Microsoft Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.

  • Fair & Transparent Compensation Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
  • Retirement Support Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
  • Parental & Family Support Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.

Microsoft Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Redmond, WA
206,870 Employees
Year Founded: 1975

What We Do

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.

Similar Jobs

JPMorganChase Logo JPMorganChase

Architect

Financial Services
Hybrid
7 Locations
289097 Employees

Optum Logo Optum

SDOH Liaison and Community Advisory Council Coordinator - Remote

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office or Remote
Seattle, WA, USA
160000 Employees
24-43 Hourly

Optum Logo Optum

Business Systems Support Analyst

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Everett, WA, USA
160000 Employees
73K-130K Annually

Optum Logo Optum

Sr Systems Management Analyst (EPIC)

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
In-Office
Everett, WA, USA
160000 Employees
92K-164K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account