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Principal Software Engineer, AI Agent Services

2 Months ago • 6 Years + • Backend Development • $137,600 PA - $294,000 PA

Job Summary

Job Description

The Principal Software Engineer, AI Agent Services at Microsoft's Azure AI organization will design, develop, and operationalize cutting-edge AI backend services. Leveraging GPT models and Azure services (Kubernetes, Containers Apps, Azure Storage, etc.), you'll build highly scalable, reliable, and secure services for enterprise applications. Responsibilities include the full service lifecycle, collaboration with cross-functional teams, architectural leadership, and mentoring. You'll need expertise in cloud technologies, distributed systems, and C# or Python, along with experience building large-scale, fault-tolerant services.
Must have:
  • 6+ years backend service experience (Azure, AWS, GCP)
  • 6+ years C# or Python coding experience
  • Experience with cloud technologies and distributed systems
  • Design, develop, and operationalize cloud services
  • Collaboration with cross-functional teams
Good to have:
  • Generative AI experience
  • Experience with Kubernetes and Containers
  • Agile development and CI/CD proficiency
  • Strong problem-solving and debugging skills
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Join the AI Agents Engineering Team at Microsoft!

 

Are you passionate about building cutting-edge AI backend services? The AI Agents Engineering team within Azure AI organization is at the forefront of empowering developers to build advanced agentic AI capabilities into their applications. By leveraging the latest GPT models, tools, and knowledge, we enable the rapid creation of customized, stateful AI agents grounded in enterprise data, capable of handling a wide array of tasks.

 

We are seeking a Principal Software Engineer who is excited about building, operationalizing, and delivering highly scalable AI backend services with enterprise-grade features. In this role, you will have the opportunity to shape the future of AI technology and make a significant impact on our customers.

 

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

 

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.

 

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.




Qualifications

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline 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

  • 4+ years experience building backend services on cloud platforms like Azure, AWS, or Google Cloud.
  • 6+ years experience with coding in C# or Python.

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 building large-scale, distributed, fault-tolerant distributed cloud/backend services
  • Prior experience in generative AI.
  • Deep understanding of cloud technologies, distributed compute systems, and distributed systems and microservices architecture
  • Self-motivation and a drive to get things to “done”.
  • System design, algorithmic skills, and knowledge of data structures​.  
  • Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
  • Debugging, testing, and problem-solving skills.  

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:


Microsoft will accept applications for the role until January 22, 2025.

 

#aiplatform

Responsibilities

  • Design, develop, and operationalize deployment of complex, enterprise-grade cloud services that leverage multiple Azure Services (Kubernetes, Containers Apps, Azure Storage, AI Search, CosmosDB, and Event Hubs, etc).
  • Be responsible for the end-to-end lifecycle of these services, ensuring their scalability, reliability, and security.
  • Collaborate with your peers to craft, develop, test, and maintain services and features using your deep technical expertise, problem-solving skills, and a strong understanding for cloud-based service development and operations. 
  • Collaborate with cross-functional teams, including software engineers, researchers, UX design, and product managers.  
  • Lead discussions on the architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture and designs.
  • Lead by example by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents.

Other:

  • Embody our and 
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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