Senior Software Engineer - CoreAI

MicrosoftRedmond, WA
3dHybrid

About The Position

You’re joining Microsoft at a pivotal moment in our intelligent cloud journey—where AI is transforming how we build, scale, and empower. As part of the Azure Knowledge AI team within Microsoft CoreAI Services, you’ll help shape the future of Content Understanding, and agentic memory. You’ll work with cutting-edge large and small language models and agentic infrastructure to deliver impactful, scalable AI services. You’ll play a critical role in building and optimizing large-scale AI systems that power real-world applications. This Senior Software Engineer - CoreAI role offers you the opportunity to deepen your expertise in natural language processing, distributed systems, and model integration—while collaborating with world-class researchers and engineers across Microsoft. We support flexible work arrangements, including remote and hybrid options, to help you do your best work. Microsoft’s mission is to empower every person and every organization on the planet to achieve more, and we’re dedicated to this mission across every aspect of our company. Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.

Requirements

  • 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, or Python
  • OR equivalent experience.
  • 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.

Nice To Haves

  • 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, or Python.
  • Problem-solving skills and ability to work independently and collaboratively.
  • Understanding of machine learning or natural language processing concepts.
  • Experience with cloud platforms (e.g., Azure, AWS, GCP) and microservices architecture.
  • Code tracing abilities.

Responsibilities

  • Design, build, and maintain scalable AI services for Azure AI Content Understanding and Knowledge team.
  • Collaborate with researchers and engineers to integrate cutting-edge large and small language models into production systems.
  • Drive architecture and implementation decisions that ensure performance, reliability, and maintainability of AI services.
  • Contribute to the development of agentic infrastructure that enables dynamic and intelligent interactions.
  • Mentor junior engineers and contribute to a culture of technical excellence, inclusion, and continuous learning.
  • Participate in code reviews, design discussions, and cross-team collaborations to deliver high-quality software.
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