Microsoft has 521 active AI-related job listings. The majority of these roles are focused on agents, representing 37% of the total, followed by application and serving infrastructure. Engineering is the most frequent function, with a significant number of openings, and the United States is the primary hiring country. Frequent tech tags include agent orchestration, model serving, and LLM observability, suggesting a focus on operationalizing AI models. Over the last 30 days, Microsoft has added 280 new AI roles, a 157% increase compared to the previous 30-day period.
Currently tracking 250 active AI roles, down 24% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $65k–$331k (avg $195k).
Microsoft currently has 343 active AI-related roles in our index. The most common open titles are: Principal Software Engineer (19), Senior Software Engineer (19), Software Engineer II (8), Principal Applied Scientist (7), Principal Data Scientist (4). Most positions are in Engineering and Research.
Microsoft's active AI hiring is concentrated in: agents (36%), application (21%), serving infrastructure (19%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Microsoft is hiring AI talent in: United States (308 roles), Canada (15 roles), Japan (8 roles), United Kingdom (7 roles).
Job postings at Microsoft most frequently mention: Computer Architecture, Python, Machine Learning, C#, C++.
In the past 30 days, Microsoft has posted 227 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff, Microsoft Robotics (Spatial AI) The Member of Technical Staff, Microsoft Robotics (Spatial AI) role focuses on designing, developing, and testing physical world models for robots to understand, predict, and reason about 3D physical environments. This involves building models for spatial structure, object relationships, physics dynamics, and scene semantics, enabling robots with physical intuition for manipulation, navigation, and interaction planning. The role contributes to world modeling, spatial AI, and foundation models for robotics, predicting physical world changes in response to robot actions. Responsibilities include designing and evaluating world models, building training data pipelines, and collaborating with researchers and engineers. | DataAgent | 9 |
| Senior Software Engineer, CoreAI Senior Software Engineer on the FIT training team within Microsoft's CoreAI organization, focused on building and optimizing AI infrastructure for agentic AI systems. The role involves developing scalable infrastructure for training LLMs, SLMs, and agentic models to achieve frontier-level performance, contributing to both proprietary and open-source frameworks for enterprise-grade agentic workflows. |
| DataAgent |
| 9 |
| Principal Software Engineer, CoreAI This role focuses on building and optimizing the AI infrastructure for training agentic AI systems, including LLMs and SLMs, to achieve frontier-level performance. It involves developing scalable infrastructure and services for training, deploying, and monitoring these models in a cloud environment. | DataAgent | 9 |
| Member of Technical Staff -Member of Technical Staff - Pretraining Text Data Seeking engineers and researchers to join the Pretraining Text Data team to build the next generation of foundation large language models. The role focuses on designing and curating high-quality datasets, developing novel data collection strategies, improving dataset quality and integrity, understanding data-driven model behaviors, training models on data impact, and aligning datasets with ethical and societal values. This is a cross-disciplinary, high-impact role at the intersection of data and innovation. | Data | 9 |
| Member of Technical Staff - Pretraining Text Data Seeking engineers and researchers to join the Pretraining Text Data team to build the next generation of foundation large language models. The role involves designing and curating high-quality text datasets, developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical values. Responsibilities include creating datasets for training and evaluation, developing scalable data pipelines, analyzing datasets, building tools for auditing, and collaborating with safety and ethics teams. | Data | 9 |
| Member of Technical Staff, AI Data - MAI Superintelligence Team The AI Data team at Microsoft AI is building the world's most advanced multimodal dataset to power frontier AI models. This role focuses on designing and developing data pipelines for massive multi-modal training data (text, audio, images, video) and building infrastructure to store and process petabytes of data. The team partners with pre-training and post-training teams to improve data recipes through experimentation and collaborates with product teams to identify model gaps. | DataPretrain | 9 |
| Senior Software Engineer, CoreAI Senior Software Engineer on the FIT training team within CoreAI at Microsoft, focused on building and optimizing the AI infrastructure for training agentic AI systems and LLMs/SLMs to achieve frontier-level performance. The role involves developing scalable infrastructure, working with both proprietary and open-source frameworks, and ensuring enterprise-grade agentic workflows. | DataAgent | 8 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) This role focuses on designing, developing, and optimizing physics-based simulation frameworks for robotics applications. It involves creating high-fidelity simulation environments for robot kinematics, dynamics, sensors, and actuators, enabling reinforcement learning training, closed-loop policy evaluation, synthetic data generation, and sim-to-real transfer. The role bridges advanced physics simulation, robotics autonomy, and ML infrastructure to accelerate the development and deployment of physically grounded AI. | DataAgent | 8 |
| Member of Technical Staff (Audio) This role focuses on building and optimizing training data pipelines and evaluation frameworks for audio models, with a secondary focus on model tuning and deployment. The engineer will be responsible for data sourcing, cleaning, labeling, QA, versioning, and lineage, as well as developing evaluation frameworks and driving continuous quality improvements. They will also optimize training and inference performance for latency, throughput, cost, and reliability. | DataPost-train | 8 |
| Principal AI Software Architect Principal AI Software Architect role focused on enabling and optimizing machine learning model training workflows on custom hardware (MAIA accelerators). Requires expertise in PyTorch, Triton/CUDA, and understanding of accelerator architecture for efficient deployment of large models. | Data | 8 |
| Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team This role focuses on building and scaling the high-performance computing (HPC) infrastructure required for training frontier AI models and powering AI products like Copilot. The engineer will design, operate, and maintain large-scale HPC environments, including schedulers, GPU compute, storage, and networking. Responsibilities include developing automation, supporting researchers and engineers, and troubleshooting cluster issues. The role requires experience with on-premise or cloud HPC clusters, high-scale training clusters, and public cloud infrastructure. | Data | 8 |
| Senior Security Researcher This role involves threat hunting to detect, investigate, and respond to advanced attacks using Microsoft 365 Defender. It requires exploring large datasets to uncover novel attack techniques, generating custom alerts, and collaborating with data science and threat research teams to develop cloud-based detections. The role also involves building hunting tools and automations. | Data | 7 |
| Principal Software Engineer Principal Software Engineer to architect and deliver Internet-scale web document platforms that ground LLMs for Microsoft's AI solutions, processing vast amounts of data daily. This role involves building large-scale data platforms fundamental to Bing Search and AI training, requiring expertise in both data platforms and AI. | Data | 7 |
| Senior Software Engineer Senior Software Engineer to build unified infrastructure for multimodal feature extraction from meetings (audio, video, screen shares) to derive semantic meaning, supporting real-time and deferred processing for AI-driven workflows and agents within Microsoft 365 Copilot and other services. | DataAgent | 7 |
| Senior Software Engineer, Knowledge Graph/Entity Systems - Microsoft AI Search Senior Software Engineer role focused on building AI-powered systems for entity extraction, enrichment, and understanding from large-scale content sources using machine learning and LLM techniques within Microsoft AI Search. The role involves designing and developing systems for entity resolution, quality improvement, and processing large volumes of data, collaborating with scientists and product teams to bring AI capabilities into production. | DataPost-train | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Data) This role focuses on data analysis, curation, and visualization for robotics AI models. It involves defining data collection strategies, building data pipelines, analyzing dataset characteristics, and creating visualization tools to improve model performance and identify data gaps. The role works at the intersection of robotics, machine learning, and data engineering. | Data | 7 |
| Member of Technical Staff, Microsoft Robotics (Robotics Simulation) The role focuses on building and maintaining pipelines for generating physics-ready 3D simulation assets from reality capture data. This includes creating workflows for optimizing geometry, material properties, and physics parameters, integrating various 3D reconstruction techniques, and developing synthetic data generation pipelines for ML models used in robotics. The goal is to bridge the physical and simulated worlds for robotics AI development and deployment. | DataAgent | 7 |
| Principal Software Engineer This Principal Software Engineer role focuses on building AI primitives and scalable AI infrastructure within the Business & Industry Copilots group, specifically for the Microsoft Dynamics 365 suite and related products. The role involves fine-tuning AI models, developing experimentation and evaluation frameworks, curating datasets, and driving model quality, with a strong emphasis on data and model quality for enterprise AI applications. | DataPost-train | 7 |
| Senior Data Engineer Senior Data Engineer responsible for designing, building, and operating software platforms that power Microsoft's business operations. This role involves working with AI tools across the SDLC, building datasets for LLMs and agents, and ensuring data quality, reliability, and security for AI-driven features. The engineer will also lead design discussions, write high-quality code, own testing strategies, manage cross-team dependencies, and participate in live site operations and mentorship. | DataAgent | 7 |
| Senior Software Engineer Senior Software Engineer role at Microsoft Quantum focused on building scalable commercial quantum computer systems. The role involves designing, implementing, and integrating system software, developing novel algorithms for computationally hard problems, and working on Quantum Error Correction techniques. It requires collaboration with experimentalists and hardware designers, spanning software, firmware, and hardware subsystems. The position emphasizes passion for software development, cloud, AI, and quantum computing. | Data | 7 |
| Principal Software Engineer Principal Software Engineer at Microsoft Quantum focused on building system software for quantum computers, integrating AI, and developing novel algorithms for computationally hard problems. The role involves designing, implementing, and optimizing software and firmware subsystems for quantum hardware, with a focus on quantum error correction and real-time quantum stacks. | Data | 7 |
| Principal Machine Learning Engineer Principal Machine Learning Engineer to work on data labeling and classification for large-scale multimodal Copilot data within Microsoft AI. The role involves prototyping and productionizing classification flows, operating prompted classifiers, and building secure data-labeling pipelines. Requires experience in data pipelines, data science, ML, and strong communication skills. | DataAgent | 7 |
| Member of Technical Staff - Data Engineer Microsoft AI is seeking an experienced Data Engineer to build mission-critical data pipelines for their Copilot systems. The role involves ingesting, processing, and publishing data streams to support AI model fine-tuning and introspection. The ideal candidate will have strong big data processing skills and experience with cloud infrastructure. | Data | 7 |
| Member of Technical Staff - Data Engineering Manager - Microsoft AI - Copilot This role is for a Data Engineering Manager within Microsoft AI's Copilot team. The primary responsibility is to build and manage scalable data pipelines that ingest, process, and publish data streams for AI use cases, specifically for fine-tuning models and improving human-AI interactions. The role involves managing a team of data engineers and ensuring operational excellence for the data platform. | Data | 7 |
| Member of Technical Staff - Data Platform This role focuses on building and architecting distributed data platforms and pipelines that process massive datasets for AI models, including training, inference, and evaluation. It involves designing event-driven architectures, handling unstructured data, engineering feedback loops for AI, and optimizing compute for cost and performance. | DataPost-train | 7 |
| Member of Technical Staff - Principal Backend Engineer, Copilot Memory and Personalization Backend Engineer role focused on building the data foundations for Copilot's memory and personalization features. This involves designing and operating large-scale data pipelines for signal ingestion, normalization, enrichment, aggregation, and memory generation, enabling downstream ML and product consumers. The role also involves technical leadership in data systems and influencing architecture. | DataAgent | 7 |
| Member of Technical Staff - Data Infra - MAI Superintelligence Team The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. This role focuses on designing and developing data pipelines for multimodal training data and owning critical data infrastructures like Spark, Ray, and Vector Databases. | Data | 7 |
| Member of Technical Staff - Data Infra - MAI Superintelligence Team The role focuses on building and maintaining data infrastructure for large-scale AI model training, specifically ingesting and processing enormous amounts of multimodal data (text, audio, images, video). This includes owning data pipelines, Spark, Ray, and Vector Databases, and partnering with pretraining and post-training teams to improve the data recipe for frontier models. | Data | 7 |