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About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
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Listed pay typically runs
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The Principal Applied AI Engineer joins the engineering team to architect and build production agentic AI systems. This role involves designing scalable AI agents, LLM orchestration, RAG pipelines, and multi-agent workflows while managing memory, state, and human-in-the-loop experiences. The engineer will write production-quality C# and Python code to build critical components, prototypes, and reusable platform capabilities. Key responsibilities include defining architecture patterns, API contracts, and evaluation frameworks using rubrics and golden datasets. The position requires implementing security patterns like prompt-injection defenses and data-boundary enforcement. The work focuses on translating customer support scenarios into technical requirements to improve automation accuracy and resolution times. Required skills include proficiency in C# or Python, experience with Azure, microservices, containers, CI/CD, and infrastructure as code.
Architect and build production agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent workflows.
Write, review, and maintain production-quality C# and Python code for critical components and reusable platform capabilities.
Translate ambiguous customer support scenarios into clear technical requirements and manage solutions from architecture through deployment.
Establish architecture patterns, API contracts, code quality expectations, and observability standards for AI services.
Design and implement evaluation frameworks using rubrics, golden datasets, and judge models to define quality thresholds.
Ensure AI services meet standards for correctness, availability, latency, scalability, cost, and safety.
Embed responsible AI principles, privacy protections, and prompt-injection defenses into system architecture and implementation.
Mentor engineers in system design, software engineering, applied AI, and evaluation-driven development.
What we're looking for
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python.
8+ years of professional software engineering experience designing, building, and operating production software systems.
Strong proficiency in C# and/or Python with the ability to design and implement production-quality services and distributed systems.
Experience with applied AI systems, including LLM-based applications, prompt engineering, RAG architectures, agent frameworks, or machine learning services.
Experience with cloud platforms, preferably Azure, and cloud-native engineering practices including microservices, APIs, containers, CI/CD, infrastructure as code, and observability.
Experience implementing agent security patterns such as prompt-injection defense, identity propagation, least-privilege tool access, and data-boundary enforcement.
Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferred).
Background in customer support engineering, supportability, diagnostics, or customer experience platforms (preferred).
Python
C#
Java
C++
JavaScript
Generative AI
Large Language Models
Agentic AI
Azure AI Foundry
Copilot Studio
Power Platform
Retrieval-Augmented Generation
Prompt Engineering
Distributed Systems
APIs
Observability
Data Governance
Generative AI
LLMs
Agentic AI
RAG
Python
Java
LangChain
Google Vertex AI
AutoGen
Semantic Kernel
Docker
Kubernetes
OpenShift
CI/CD
Microservices
Deep Learning
Natural Language Processing
Computer Vision
APIs
Machine Learning
Deep Learning
Python
TensorFlow
PyTorch
Natural Language Processing
Computer Vision
Java
C++
Git
Agile
Data Mining
Data Modeling
Statistical Modeling
Distributed Computing
Neural Networks
CNN
RNN
GAN