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Solution Engineer - Cloud & AI Applications

Microsoft

Solution Engineer - Cloud & AI Applications

Microsoft

United States, Multiple Locations, Multiple Locations

·

On-site

·

Full-time

·

1mo ago

必备技能

Azure

Overview:

Are you insatiably curious, deeply passionate about the realm of Cloud & AI and Applications, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a Solution Engineer - Cloud & AI Applications for commercial customers at Microsoft. Here, you'll be at the forefront of innovation, working on cutting-edge projects that leverage the latest technologies to drive meaningful impact. Join us and be part of a team that thrives on collaboration, creativity, and continuous learning.

Microsoft is transforming the developer experience for Cloud & AI Applications across the development lifecycle. With AI Foundry and seamless integration with Azure AI, we’re leading the way in Agenetic AI development, where AI agents streamline development and operations. As a Solution Engineer - Cloud & AI Applications, you’ll help customers adopt these innovations to boost productivity, drive innovation, and become AI-native. You will also play a pivotal role in helping enterprise AI developers unlock the full potential of Microsoft’s AI-powered stack across every stage of the development lifecycle.

As a Solution Engineer - Cloud & AI Applications, you'll collaborate closely with engineering leaders and platform teams to accelerate AI Foundry, Azure AI, and Responsible AI through hands-on engagements like Proof of Concepts, hackathons, and architecture workshops. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate AI applications development into their deployment workflows. In summary, you’ll help customers modernize their applications and realize the full value of Microsoft’s AI platform, all while enjoying flexible work opportunities. This opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your technical skills, and become adept at solution design and deployment.

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.

By applying to this role, you will be considered for multiple opportunities within Microsoft across the United States including locations beyond where the role is posted. This role is flexible in that you can work up to 50% from home. Travel percentages will vary according to role.

  • Responsibilities- Drive technical sales with decision makers using demos and Po Cs to influence solution design and enable production deployments.
  • Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
  • Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions
  • Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
  • Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).
  • Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
  • Represent Microsoft through thought leadership in developer communities and customer forums

Other:

  • Embody our culture and values

Qualifications Required/Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience  OR Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience
  • OR 3+ years technical pre-sales or technical consulting experience
  • OR equivalent experience

Other Requirements:

  • Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.

Additional or Preferred Qualifications:

  • 6+ years technical pre-sales, technical consulting, or technology delivery, or related experienceOR equivalent experience
  • 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
  • Proficient on Agentic framework, AI Management & Security (e.g., Gen AI Ops, Sentinel, Responsible AI, orchestrator, monitoring)
  • Skilled with 1 or more frameworks, tools, languages (e.g., GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools)
  • Understanding of full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
  • Familiarity of AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
  • Proven ability to lead technical engagements (e.g., hackathons, Po Cs, MVPs) that drive production-scale outcomes.

Solution Engineering IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 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 $112,000 - $185,300 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

Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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

Microsoft

Public

Microsoft 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

4.4

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.3

职业发展

3.8

管理层

4.0

82%

推荐给朋友

优点

Cutting-edge technology and innovative projects

Great team culture and collaborative atmosphere

Excellent benefits and competitive compensation

缺点

Heavy workload and frequent overtime

High expectations and stressful environment

Bureaucratic processes can be slow

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