Microsoft

Senior Applied AI Engineer for the Customer Service Applications Team, focusing on developing and integrating AI technologies, including foundation models, prompt engineering, RAG, graphs, and multi-agent architectures, into Microsoft products. The role involves fine-tuning models, evaluating their behavior, building prototypes, contributing to production deployment, and translating research into scalable, impactful solutions. Emphasis on responsible AI practices and leveraging AI for real-world customer service outcomes.

Research intern to study LLM-based assistants' behavior with incomplete information, focusing on uncertainty awareness, responsible reasoning, and robustness for enterprise AI systems.

Research Intern role focused on agentic programming, involving building agentic workflows and ML models for software engineering tasks, within a PhD program context.

This role focuses on building and scaling large-scale AI systems for Copilot memory and personalization, leveraging technologies like RAG, embeddings, retrieval, and ranking. The engineer will be responsible for designing and implementing these systems, collaborating across product groups, and ensuring system reliability and performance.

Principal Software Engineer to architect and implement an agentic auto-bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems to optimize bids in real-time across Microsoft's marketplaces. The role involves defining requirements for AI-driven capabilities, building data validation frameworks, ensuring operational excellence, and exploring emerging AI techniques like multi-agent systems.

Principal Applied Scientist role focused on building and shipping AI agentic applications and predictive models for Viva Engage. The role involves end-to-end delivery of ML capabilities, including problem framing, data handling, modeling, evaluation, experimentation, deployment, and monitoring. Emphasis is on production-viable solutions, leveraging LLMs and generative AI for knowledge discovery, moderation, recommendations, and enhancing user experiences. The position requires hands-on coding in production environments and driving measurable product impact.

Research intern to conduct threat modeling for LLM-enabled agentic designs, develop formal security frameworks, and produce security proofs and empirical validations. Deliverable within 12 weeks.

The Principal Software Engineer will work on an auto-bidding platform for digital advertising, leveraging AI, machine learning, and large-scale distributed systems. The role involves designing and building an agentic bidding platform that processes billions of auction events daily, optimizing bids in milliseconds. Responsibilities include defining requirements for agentic AI-driven bidding capabilities, architecting the next-generation platform, building data validation frameworks, driving operational excellence, developing experimentation frameworks, adopting new technologies, mentoring engineers, and exploring emerging AI techniques like multi-agent systems.

Applied Scientist role focused on building advanced Copilot features like Deep Research and Web artifact generation. Responsibilities include architecting and implementing LLM-powered systems, leading evaluation efforts, designing data pipelines for prompt engineering and fine-tuning, and training content classifiers. Requires experience with LLMs, production-quality Python code, and a Bachelor's degree with related experience.

Research intern role at Microsoft Teams focusing on AI-driven innovation in collaboration and communication technologies. Projects may involve AI agents, conversation intelligence, meeting efficiency, and user experience, with a strong emphasis on privacy, security, and accessibility. The role involves applying research methods to real-world challenges in digital collaboration.

This role focuses on building and improving AI agent platforms, specifically the Agent Performance team within Azure AI Platform. The core responsibility is to integrate scientific advancements, particularly RL techniques like RLHF, into production-ready features for AI agents. The role involves monitoring, evaluating, optimizing, and enabling self-improvement of these agents, bridging the gap between research and product.

Full Stack Engineer to build LLM-powered data engineering experiences and infrastructure for Microsoft Fabric. The role involves implementing agentic workflows and scalable LLM-backed data features, focusing on AI Engineering and modern LLM-based systems.

Principal Security Researcher focused on designing and executing advanced adversary simulations using AI-enabled and agentic systems. The role involves evaluating AI-driven detections and defenses, translating attacker tradecraft into actionable insights, and contributing to the development of AI-driven security research workflows.

Principal Security Researcher (Red Team) at Microsoft, focused on using AI and agentic systems to scale offensive security research, adversary emulation, and tooling development. The role involves designing and executing complex attack simulations, developing advanced offensive tools, and evaluating defensive systems, with a strong emphasis on AI-enabled automation and adaptive attack paths.

Software Engineer II role focused on building foundational platforms for intelligent agents and generative AI systems within Microsoft Foundry. The role involves developing large-scale, cloud-native systems for the end-to-end agent lifecycle, including secure enterprise deployment, tool integration, model fine-tuning, and production observability/evaluation. It sits at the intersection of distributed systems, AI infrastructure, and developer platforms.

Senior Security Researcher role focused on offensive security research using AI-enabled and agentic systems to emulate real-world cyberattacks. The role involves designing and executing adversary simulations, developing offensive tooling, conducting malware research, and leveraging threat intelligence. A key aspect is utilizing AI and LLM-driven workflows to scale attack development, automation, and simulation fidelity, while partnering with blue teams to improve detections and defensive capabilities.

This role focuses on delivering enterprise AI solutions using Azure OpenAI, Azure AI Services, and custom machine learning. It involves designing and implementing secure, advanced agentic AI systems and optimized RAG architectures, requiring expertise in full-stack application engineering, cloud-native architecture on Azure, and DevOps. The role also emphasizes solutioning, pre-sales, and technical leadership, with a requirement for relevant Azure AI certifications.

Principal Software Engineer to lead architecture and delivery of a Teams-integrated product (Innovation Studio) that uses agentic AI workflows, Azure-native services, and modern web experiences to help organizations run hackathons and accelerate ideas. The role involves defining how the team uses agentic development itself for various SDLC stages.

This role focuses on building and extending AI-driven agents for incident triage, classification, and automation within Microsoft's Azure Data engineering team. The goal is to replace manual operations with engineered solutions, improving the stability and efficiency of cloud-scale data infrastructure.

This role focuses on architecting and designing AI solutions, specifically leveraging Microsoft's Copilot and agent technologies, to address customer business challenges. The architect will assess customer AI readiness, translate business requirements into technical solutions using Power Platform, Azure, and Microsoft 365 Copilot, and ensure scalable, secure, and compliant deployments. The role involves close collaboration with customers, product engineering, and delivery teams to drive adoption and validate business value.

This role focuses on co-engineering Generative AI and agentic solutions for enterprise customers on Microsoft platforms. The consultant will translate ambiguous business needs into requirements, design and implement GenAI/agentic solutions, prototype rapidly, and ensure production-ready implementations with testing, monitoring, and secure deployment. Key responsibilities include identifying and mitigating AI-specific risks, building agentic workflows with tool invocation and guardrails, and implementing evaluation strategies for AI output quality and safety.

Senior Consultant, AI Business Solutions at Microsoft, focusing on co-engineering GenAI and agentic solutions for customers on Microsoft platforms. The role involves translating ambiguous business needs into working prototypes and production-ready solutions, with an emphasis on end-to-end delivery, risk mitigation, and evaluation of AI outputs. Requires strong engineering and consulting skills to deliver measurable business outcomes.

Senior Software Engineer role focused on integrating AI capabilities into traditional computer systems and products across Microsoft's Experiences & Devices division. The role involves formulating design patterns, creating prototypes, architecting solutions, and delivering AI-enabled experiences, with a focus on agent-based systems and AI integration into agent workflows.

Product Manager for the IQ Team (Ontology & Semantic Layer) within Azure Data, focusing on building the semantic backbone that gives AI agents context to reason about business. The role involves defining and delivering the semantic layer vision for Fabric, driving AI-native scenarios by grounding agents in live business operations, and leading end-to-end product strategy and execution for AI solutions on the Fabric platform.

Software Engineer role focused on building an agentic engineering platform for AI-powered productivity across Microsoft's codebases, involving AI models and orchestration frameworks.

Senior Software Engineer role focused on building an agentic engineering platform for Microsoft developers, leveraging AI models and orchestration frameworks to enhance software engineering workflows like code refactoring and understanding. The role involves designing, developing, and deploying platform capabilities, applying AI-assisted development tools, and mentoring other engineers.

This Principal Software Engineer role focuses on building a new AI agent platform for enterprise use within Microsoft Copilot Studio. The role involves designing and delivering scalable, secure, and reliable platform capabilities for autonomous agents that can perform multi-step work, operate across contexts, and integrate with Microsoft 365 and Power Platform tools. The position is at the intersection of distributed systems, applied AI, and user experience, requiring leadership in system design, technical execution, and championing engineering excellence.

Applied Scientist II role on the Bing Places team, focusing on building and shipping AI/ML solutions for local search experiences. The role involves end-to-end work from problem formulation to production deployment, with a focus on LLMs, RAG, learning-to-ranking, and entity understanding. Collaboration with engineering and product partners is key, with opportunities for publications and patents.

Senior Applied Scientist role focused on leveraging LLMs, SLMs, and RAG models to improve the Bing Places platform. The role involves designing, developing, and deploying AI solutions, creating data pipelines, and staying updated on AI/ML research. Collaboration with multidisciplinary teams and mentoring junior members are key aspects.

Principal Architect role focused on leading enterprise-scale AI adoption and delivery, embedding AI-native principles, and driving intelligent automation and agentic workflows. The role involves acting as a trusted advisor to C-suite executives, shaping technical strategies, and ensuring engineering excellence and compliance in regulated environments.

Senior Consultant role focused on designing, developing, and delivering end-to-end, AI-powered, cloud-native applications for enterprise customers. The role requires strong full-stack engineering expertise combined with applied AI capabilities, particularly in LLM and agentic AI solutions, RAG patterns, and Responsible AI principles, with a focus on customer value and technical leadership.

The AI Engineer will help build LLM-powered data engineering experiences and infrastructure for Fabric Data Engineering, based on Apache Spark. This includes implementing agentic workflows and scalable LLM-backed data features like AI Functions integration, notebook copilots, and evaluation/telemetry.

Senior Software Engineer role focused on building AI-powered, full-stack cybersecurity capabilities for enterprise customers. The role involves designing and implementing scalable cloud services, LLM-based agentic workflows, and integrating AI for threat detection and response.

Software Engineer II role focused on building AI-powered, full-stack capabilities for cybersecurity threat detection and investigation using LLMs, agentic workflows, and cloud services on Azure. The role involves designing, implementing, and operating backend services and APIs, owning features end-to-end, and collaborating with cross-functional teams. Emphasis on Responsible AI and leveraging AI tooling for development efficiency.

Senior Software Engineer for Microsoft Copilot Experiences team, focusing on building reliable, performant, and intelligent user experiences for Copilot. The role involves frontend systems, distributed services, and telemetry, with responsibilities spanning client, service, and data layers, including improving reliability and latency of Copilot interactions. It also includes building telemetry pipelines, designing session-level event models, and architecting large-scale, low-latency systems. Experience with AI/agent-based systems in production, observability, evaluation, and conversational interfaces is preferred.

Security Research Intern role focused on analyzing real-world nation state attacks to develop autonomous detection and disruption logic using AI-assisted tooling and agentic flows. The role involves investigating threats, reasoning over large-scale datasets, and contributing to the implementation of automated capabilities to protect users.

Senior Software Engineer role focused on building the foundational cloud-native, distributed platform for developing, executing, and managing agentic AI applications at scale. The role involves defining the future of software development, shaping developer interaction with the platform, and integrating multi-modal AI capabilities into agentic applications.

Seeking a Principal Product Manager to drive the design, development, and deployment of generative AI-powered contact center solutions for Dynamics 365. This role involves working directly with top customers on pre-sales and deployment, building solutions hands-on, educating on best practices, and influencing the product roadmap.

Senior Data Scientist role focused on consumer marketing personalization and decision science. Responsibilities include defining technical strategy for causal modeling and experimentation, architecting production-grade personalization models, leading ML efforts from framing to deployment, and guiding LLM engineering direction. The role emphasizes collaboration, technical leadership, and driving measurable business outcomes.

Principal Software Engineer on the Copilot Studio Knowledge team, focusing on improving the accuracy, performance, and scalability of Copilot Studio's generative AI capabilities. The role involves defining architecture, building features, mentoring engineers, and engaging with customers to resolve issues and drive product improvements.

Product Manager for Responsible AI, focusing on defining and driving product requirements for capabilities that ensure safe, secure, and trustworthy AI systems. The role involves translating emerging AI risks into scalable product features, working across the AI development lifecycle, and engaging with enterprise customers to understand real-world risks and validate product direction. Success is measured by delivering adopted features that improve AI safety, security, or compliance outcomes.

Software Engineer II to build and operate AI Agents as Service for cloud operations, focusing on agent capabilities, orchestration, evaluation, safety, and reliability in production environments.

Senior Software Engineer to build and operate AI Agents as Service for cloud operations, focusing on agent capabilities, orchestration, evaluation, safety, and reliability in production environments.

Principal Software Engineer on the Windows team, focusing on creating personalized consumer experiences across Xbox, M365, and devices. The role involves leading teams, driving AI adoption, building ML models, and leveraging LLM usage patterns and agentic frameworks for personalization and service health.

Senior Software Engineer to drive the development of next-generation systems for Microsoft Start, focusing on backend services, LLM applications, evaluation frameworks, and prompt engineering to create intelligent user experiences.

Principal Software Engineer to drive the architectural transformation of Conditional Access into a universal policy engine for users, workloads, and AI agents. This role will own the technical vision for scaling Conditional Access to meet the next generation of identity, including autonomous agents, continuous authorization, data-plane enforcement, and policy portability. The role involves defining architecture, owning technical strategy for the evaluation engine, designing next-generation policy models, leading CA-for-Agents vision, architecting agent identity evaluation, driving cross-org technical alignment, and influencing roadmaps for agent governance. It also includes setting standards for safe rollout, driving testability, and mentoring engineers.

Principal Software Engineer role focused on defining and leading the technical direction for next-generation intelligent, large-scale content platforms. The role involves shaping multi-year technical strategy, driving architectural coherence, and building foundational platforms for multiple product surfaces. Responsibilities include designing distributed backend systems, cloud-native infrastructure, and data platforms at global scale, with a focus on availability, latency, security, and cost efficiency. A key aspect is guiding the integration of LLM-powered capabilities into production systems, defining patterns for retrieval, orchestration, evaluation, and responsible AI, ensuring these are deeply embedded, reliable, and scalable. The role requires exceptional technical judgment, operating in ambiguous spaces, and influencing across teams and organizations, working closely with engineering leaders, product leaders, and applied scientists.

This role is for a Sr. Cloud Solution Architect focused on the Azure AI platform within Microsoft's Customer Experience & Success (CE&S) organization. The primary responsibility is to enable customers to achieve business outcomes by leveraging Microsoft's AI and ML technologies, specifically by building Generative AI solutions and resolving customer blockers within the 'AI Factory'. The role involves technical leadership, driving customer adoption, providing feedback to engineering, and increasing technical expertise within the field teams. It emphasizes a hands-on approach to designing, building, and troubleshooting AI solutions for customers.