招聘
Overview
Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.
Enterprise experience team owns an Azure Resource Provider which is responsible for building the foundation of Microsoft Foundry Platform, enabling businesses and developers to create their own AI Agent solutions. We deliver a high-performance, reliable platform that meets strict enterprise requirements, including security, governance, and data isolation, while driving customer engagement through agent tools and capabilities.
In this role, you will design and develop platform services that power Microsoft Foundry's enterprise capabilities, including agent tooling frameworks, authentication flows, and control plane APIs. You will deliver advanced security features such as private networking, agent identity framework, customer-managed keys for data encryption, and contribute to infrastructure reliability and live site operations.
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.
Responsibilities
- Define technical vision and drive strategic direction for Microsoft Foundry's enterprise platform
- Design and develop platform services including agent tooling frameworks, authentication flows, and control plane APIs
- Deliver unified APIs and advanced security features (private networking, data encryption, cache resiliency)
- Lead cross-org collaboration with partner teams across Azure, M365, and Security to deliver end-to-end solutions
- Champion AI-first development practices and serve as a role model for leveraging AI to accelerate innovation and productivity
- Drive livesite excellence through infrastructure reliability and operational excellence
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
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 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.
- 6+ years technical engineering experience designing and delivering highly available, large-scale cloud services and distributed systems.
- 1+ years of technical engineering experience with machine learning or Artificial Intelligence (AI) systems.
- Experienced in AI-first development, leveraging AI tools to streamline and accelerate engineering productivity.
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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.
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关于Microsoft

Microsoft
PublicMicrosoft Corporation is an American multinational technology conglomerate headquartered in Redmond, Washington.
10,001+
员工数
Redmond
总部位置
$3000B
企业估值
评价
3.8
5条评价
工作生活平衡
4.1
薪酬
4.3
企业文化
3.4
职业发展
3.2
管理层
3.0
65%
推荐给朋友
优点
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
缺点
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
薪资范围
5,620个数据点
Senior/L5
Senior/L5 · Account Management
5份报告
$209,483
年薪总额
基本工资
$181,941
股票
-
奖金
-
$194,895
$209,483
面试经验
1次面试
难度
4.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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