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Senior Software Engineer- Agentic AI & Sentiment Intelligence

Microsoft

Senior Software Engineer- Agentic AI & Sentiment Intelligence

Microsoft

United States, Washington, Redmond

·

On-site

·

Full-time

·

1mo ago

必备技能

Python

Java

JavaScript

Azure

Excel

Overview:

If you’re an engineer eager to build the next generation of agentic AI systems and redefine how Microsoft understands and acts on customer sentiment, we want to hear from you. Your work will shape high-visibility AI investments and empower billions of users worldwide.

Copilots are transforming how we empower people and organizations, and customer sentiment is at the center of building responsible, high-impact AI. The IDEAS Sentiment team powers how product groups across Microsoft 365—including Copilot, Windows, Teams, Outlook, Edge, Word, Excel, PowerPoint and more—listen to customers at scale, generate insights, and close the loop.

We are now pushing into a new frontier: agentic AI that can reason, orchestrate tasks, enrich feedback, and autonomously produce actionable insights across millions of signals.

We’re seeking a Senior Software Engineer with deep expertise in agentic AI, LLM systems, modern AI CLI tooling, and scalable cloud architectures. This individual contributor role is designed for an AI expert who will elevate engineering excellence and accelerate our transformation into an Agentic AI-first sentiment intelligence platform.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We work with a growth mindset, respect, integrity, and a commitment to inclusion. You’ll join a collaborative team that values curiosity, technical rigor, and building AI systems that make a meaningful impact—at global scale.

  • Responsibilities- Lead the design, development, and deployment of complex data pipelines and services.
  • Write high-quality, maintainable, and well-tested code in languages such as C#, Java, or C++.
  • Use scripting languages (e.g., Python, PowerShell) to automate data workflows and operational tasks.
  • Collaborate with cross-functional teams to define technical requirements and drive architectural decisions.
  • Mentor junior engineers and contribute to team growth and best practices.
  • Apply deep technical expertise to solve challenging data engineering problems at scale.

Qualifications:

Required Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or PythonOR equivalent experience.
  • Strong proficiency in agentic AI frameworks, LLM orchestration, prompt engineering, and autonomous workflow design.
  • Experience developing cloud-native systems using Azure, including microservices, data services, and distributed computation.
  • Familiarity with modern AI development CLI tools, evaluation frameworks, vector search, embeddings, and model debugging.
  • Solid problem-solving skills and experience with large-scale data systems.

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:

  • Experience with cloud platforms (e.g., Azure, AWS) and big data technologies.
  • Advanced expertise in LLM-based agents, including planning, memory management, tool-use patterns, and multi-step reasoning.
  • Expertise with distributed systems, data modeling, and performance optimization.
  • Track record of driving cross-team collaboration and delivering impactful solutions.

#DPG #DPGHiring

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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

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