This role focuses on designing, building, and optimizing end-to-end cloud and on-premises infrastructure solutions, with a significant emphasis on supporting AI/ML workloads. The consultant will leverage Azure AI Services, containerized AI workloads, and integrate models into cloud environments, acting as a full-stack infrastructure consultant.

Full Stack Engineer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure, with a significant emphasis on integrating AI capabilities. The role involves working with Azure AI services, RAG patterns, agent-based patterns, and prompt engineering to build AI-enabled applications for enterprise customers.

This role focuses on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on leveraging Azure AI Services as infrastructure components for applications. The consultant will integrate OpenAI/Frontier models into cloud environments using secure and scalable patterns, requiring proficiency in Python for automation and AI integration, and experience with AI developer tools. The role also involves cloud strategy, networking, DevOps, and security practices within Azure.

Senior Consultant Data & AI at Microsoft, focusing on delivering end-to-end data and AI solutions for clients. Responsibilities include designing, developing, and deploying solutions on Microsoft technologies, building AI-powered data pipelines, feature engineering, operationalizing ML pipelines, and working with LLMs, NLP, Computer Vision, RAG, and Gen AI frameworks. The role emphasizes Azure Data Services, Data Warehouse, and MLOps concepts.

Software Engineer 2 at Microsoft's CoreAI organization, specifically within the Responsible AI group. The role focuses on building customer-facing AI services with a scalable, sustainable, high-performance architecture, emphasizing high availability, low latency, and robustness. Responsibilities include designing and developing large-scale distributed cloud services, leading project development, taking end-to-end ownership of the development lifecycle, and upholding software engineering best practices. Experience with ML model development, release, and operations, as well as AI tools across the SDLC, is preferred.

This role is for a senior technical leader to manage and define the vision for developer experience for large-scale AI Research. The team owns foundational systems like monorepo, CI/CD, build systems, and developer environments, serving hundreds of engineers and researchers. The role involves leading a team, driving AI-first development practices, and improving engineering velocity through agentic AI workflows and optimizing training/experimentation workflows.

This role leads the reporting, analytics, and operational technology function within the Audit, Risk & Compliance organization, establishing an org-wide AI program to embed AI into tools and processes. The role manages a team, prioritizes AI embedded reporting and analytics strategy, and translates between audit/compliance stakeholders and engineering. Key responsibilities include running AI tooling platforms, driving AI/agent/analytics modernization for audit workflows, and managing enterprise reporting and KPIs.

Manager of Cloud Solution Architects (CSAs) leading a team of senior technical experts to help enterprise customers design and deliver secure and scalable AI solutions on Azure, focusing on data, application innovation, and infrastructure workloads. The role involves guiding the team in driving customer success through architectural leadership, technical delivery, and innovation, accelerating adoption of AI services, and fostering a culture of learning and excellence.

This role is for a Director, AI Strategy & Operations Program Manager within Microsoft AI's Superintelligence team. The role focuses on shaping the operating cadence for model development, driving compute and resource allocation, producing competitive intelligence, and authoring strategic analysis to inform leadership decisions. It involves identifying and implementing changes within the organization to ensure success in building capable and safe AI systems. The role requires strong analytical, communication, and execution skills, with a focus on driving outcomes and coordinating across technical and non-technical teams.

This role is for a Principal Strategy and Planning Leader within Microsoft's Engineering organization, focusing on driving cross-portfolio initiatives related to AI and security. The role translates MSEC strategy into execution, partners across various teams, shapes priorities, and accelerates delivery of initiatives that build the control plane for AI-driven organizations. It requires strategic and systems thinking, operational rigor, and executive influence to navigate complex problems at the intersection of AI and security.

Principal Product Manager to lead SMB On-boarding and support experiences across Microsoft Advertising, focused on helping advertisers get started, resolve issues, and achieve value faster throughout their lifecycle. This role is for a senior product leader with a strong track record of building customer-facing product experiences that reduce friction, improve activation and retention, and help customers succeed through clear guidance, intelligent assistance, streamlined workflows, and scalable support. We aim to bring together product, data, and automation to help SMB customers navigate setup, onboarding, troubleshooting, and ongoing account growth with greater confidence and less effort. In this role, you will own the vision, strategy, and roadmap for key onboarding and support experiences across the product. You will work closely with Engineering, Data Science, UX, Product Marketing, Sales, and Support teams to deliver trustworthy, high-impact experiences that improve customer outcomes at scale.

Sr. Consultant focused on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on AI workloads. This role requires expertise in Azure AI Services, integrating frontier models, and managing AI developer tools as infrastructure components. The consultant will ensure secure, scalable, and high-performing environments for AI applications.

Full Stack AI Application Developer role focused on designing, developing, and deploying modern cloud-based applications on Microsoft Azure. This role involves integrating AI capabilities like search, chat, and recommendations using Azure AI services, RAG patterns, and agent-based workflows. The position requires hands-on experience with full-stack development (.NET, Node.js, Angular/React) and Azure AI services, including prompt engineering and responsible AI principles.

Consultant role focused on delivering end-to-end data and AI solutions using Microsoft technologies. The role involves designing, developing, and deploying solutions, with a focus on data engineering, ML-ready datasets, and operationalizing ML pipelines on Azure. It requires strong foundational knowledge of Azure Data Services, AI/ML concepts, and experience with AI-powered data pipelines.

Software Engineer II on the Business & Industry Copilot Foundations team at Microsoft, focusing on integrating AI technologies into Dynamics 365, Flow, and PowerApps. Responsibilities include developing scalable cloud services and APIs, collaborating with product managers and partner teams, implementing features with modern software engineering practices, and owning features end-to-end. The role involves monitoring, troubleshooting, and supporting live-site reliability, availability, and performance using telemetry and logging. Requires a Bachelor's Degree in Computer Science or related field and 2+ years of technical engineering experience. Preferred qualifications include experience with generative AI or LLM/ML algorithms, Microsoft stack technologies, LLMOps frameworks, container technologies, and experience across the product lifecycle.

Principal Software Engineer (Architect) role focused on Identity and Access Management within Microsoft Security. The role involves translating user needs into architecture, owning system design, leading coding practices, driving implementation, and ensuring reliability. A key aspect is championing an AI-first engineering model and scaling intelligent automation across the SDLC.

This role focuses on security operations and identity and access management (IAM) within Microsoft's Cloud & AI organization. The engineer will ensure secure access, drive identity lifecycle management, and enable automation using tools like PowerShell and Power Automate, with an emphasis on integrating AI-powered workflows. While AI is mentioned as a tool for automation, the core function is security operations and IAM engineering, not building AI models themselves.

This role focuses on designing and delivering modern, governed data platforms using Microsoft Fabric, Azure Databricks, and Azure SQL, enabling customers to modernize their analytics and data estates for AI-ready solutions. It's a technical sales role that guides organizations through data platform modernization, focusing on secure, scalable, and resilient cloud data architecture.

This role is for a Senior Director of Cloud & AI at Microsoft Federal, focusing on leading a team of Cloud & AI Solution Architects to enable U.S. Federal Government customers to achieve their goals using Microsoft technology. The role involves people leadership, driving customer success, ensuring production deployments, and accelerating Azure adoption, with a strong emphasis on security and mission-critical work within a regulated environment.

This role is responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI, specifically focusing on enterprise AI agent solutions within the Microsoft Foundry Platform. The role involves designing and developing platform services, agent tooling frameworks, authentication flows, control plane APIs, and advanced security features, while ensuring high performance, reliability, and adherence to strict enterprise requirements.

This role leads the sales strategy and execution for AI Business Solutions (ABS) within the Small Medium Business (SMB) segment for the Americas. The focus is on driving adoption and growth of AI tools like Copilot and Dynamics 365, leading a sales organization, and achieving revenue and customer acquisition targets through AI-first selling motions and partner engagement.

Consultant role focused on designing, building, and deploying AI-enabled business solutions using Microsoft platforms like Dynamics 365, Power Platform, and Microsoft 365 Copilots. The role involves customer engagements, implementing AI-augmented features, and ensuring solutions align with architecture and security guidelines.

This role focuses on ecosystem data science within Microsoft AI, owning cross-product measurement strategy, shared systems, and experimentation frameworks. The principal will apply machine learning, statistical modeling, and experimentation to large datasets to define and deliver metrics that measure user and business value across products. Responsibilities include mentoring, developing data strategies, designing and executing experiments, collaborating with product and engineering teams, and establishing standards for data quality and operationalizing ML models. The role aims to optimize MAI-level outcomes and drive data-driven decision-making.

Senior Solution Architect for AI Business Solutions at Microsoft Federal Civilian Business Unit. This role focuses on leading enterprise-scale digital and AI transformation initiatives using Microsoft Dynamics 365, Power Platform, and Microsoft Cloud. The architect will act as a trusted advisor to senior executives, translating complex business challenges into AI-powered solutions and guiding customers from strategy through delivery. Key responsibilities include strategic advisory, enterprise architecture, technical vision for AI and agents, modernization of customer engagement using AI, and driving customer success in regulated environments. Requires strong technical expertise, business acumen, and experience in regulated environments.

This role is a Solution Area Specialist focused on selling Microsoft's Business Applications portfolio, including CRM, ERP, Power Apps, and Co-pilot Studio for AI agentic scenarios. The role involves strategic sales, customer engagement, solution leadership, and deal management, with a focus on driving digital transformation using AI-powered solutions and low-code/no-code platforms.

Delivery Management leadership role within AI Business Solutions, responsible for end-to-end project portfolio delivery, escalation management, and financial health for projects executed in India. The role acts as the primary escalation point to the customer's leadership team for complex delivery issues and partners with internal stakeholders to drive consensus and present a One Microsoft view. Responsibilities include ensuring disciplined execution, customer success, and strong people leadership across multiple concurrent AI Business Solutions engagements, influencing deal construct during pre-sales, driving sustainable growth, optimizing resource utilization, and maintaining a healthy project portfolio. As a people manager, the role will build delivery governance capability of project managers through strong people leadership.

Senior Software Engineer for Azure Managed Redis team, focusing on large-scale distributed systems, deployment, upgrade, monitoring, and healing of Redis clusters. The role involves applying AI techniques to enhance engineering effectiveness, operational intelligence, and service reliability, while also building foundational platform capabilities and microservices for a hyperscale managed service.

Software Engineer II on the Visual Studio Marketplace and NuGet Team, focusing on building and operating CoreAI services. The role involves designing and developing complex cloud services, ensuring high availability, performance, and security, and integrating AI tools and features into developer ecosystems. Experience with prompt design, tool/function calling, eval harnesses, and agent patterns is preferred.

Software Engineer II on the Azure Dev Services team, focusing on building and operating scalable, low-latency distributed systems. The role involves integrating AI-assisted development tools and contributing to AI-enhanced features using LLMs, MCP servers, and RAG. Experience with cloud platforms and AI-powered solutions in production is preferred.

Senior Software Engineer role focused on building and operating scalable distributed systems for Azure Dev Services. The role involves integrating AI-assisted development tools and AI-enhanced features using LLMs and RAG, contributing to the development of AI-powered solutions in production environments.

This Principal Software Engineer role on the M365 AIForward team focuses on building enterprise-grade AI-powered solutions to enhance developer productivity. The role involves architecting and leading the design of complex, scalable systems, driving technical strategy, mentoring engineers, and developing end-to-end solutions. While the team is AI-focused and the role requires proficiency with LLMs and AI, the primary output is the engineering of these services and systems, not the direct research or development of core AI models themselves.

This role manages the technical aspects of eDiscovery processes, involving data identification, extraction, and classification using AI tools. It partners with product teams to improve eDiscovery features and works with engineering on custom development.

Senior Software Engineer role focused on leveraging AI tools and practices within the Finance Data & Experiences organization at Microsoft. The role involves designing, developing, and owning scalable, distributed systems and data-powered solutions, with a strong emphasis on integrating AI capabilities to enhance business processes and user experiences. Responsibilities include leading architecture discussions, building high-quality code, driving automation, and implementing AI safety standards, while championing AI-native development across the SDLC.

This role is a quota-carrying sales specialist focused on driving AI-powered business process transformations using Microsoft's Dynamics 365, Power Platform, and Copilot solutions. The specialist will identify opportunities, craft value propositions, and work with account teams and partners to accelerate customer adoption and achieve revenue targets.

Full Stack Engineer II on the Bing GenAI team, responsible for building end-to-end features for Copilot and Bing. This role involves working across the entire technology stack, from backend C# services and prompt engineering to frontend UI development using server-side and client-side frameworks. The goal is to shape the future of AI-powered search and deliver intelligent systems to billions of users.

Software Engineer on the Search & AI Platform team at Microsoft, responsible for building the next generation of storage and computation fabric for Bing and Copilot. The role involves working on massively scaled distributed systems, collaborating with stakeholders, designing and implementing features, and acting as a Designated Responsible Individual (DRI) in a DevOps model. The engineer will also focus on improving the availability, reliability, efficiency, observability, and performance of products.

This role is for a Principal Software Engineer on the Web Data Platform Team, focusing on scaling the global web scale Index and its supporting platform. The primary responsibility is to enhance the Web Crawler team's platform, which handles tens of billions of URLs daily and is crucial for Search and Recommendation scenarios. The role involves containerizing the service, building the next version of the crawler for increased throughput and global deployment, while intelligently minimizing load on websites. The system must balance discovering new web pages with maintaining document freshness and avoiding excessive crawl requests. It's a distributed platform that uses ML models for resource efficiency, and web-scale data is highlighted as critical for both training and serving use cases with LLMs.

This role focuses on defining and leading the strategy for authentication, authorization, and account systems for Microsoft's consumer Copilot experiences across various platforms. It involves deep backend engineering, understanding consumer identity protocols, and balancing risk with velocity to ensure secure and seamless AI interactions. The engineer will ship secure code and frameworks, influence architecture, and collaborate with multiple teams to enhance identity and security for AI products.

This role focuses on driving AI transformation and adoption within Microsoft's commercial business, acting as a change management lead to enable sellers and reshape ways of working. The individual will advise on change strategies, lead internal activation efforts as a Customer Zero practitioner, generate insights, and manage a portfolio of change initiatives. The role requires experience in change management and program management, with a preference for experience driving AI transformation in a technology or consulting environment.

This role is for a Business Strategy Director focused on helping large enterprises move from AI ambition to execution by clarifying business outcomes, defining operating models, and establishing measurement approaches to demonstrate business impact and ROI. The role is customer-facing, executive-level, and requires strong analytical and communication skills.

This role focuses on designing, implementing, and scaling AI-ready Azure infrastructure platforms for enterprise clients. The Cloud Solution Architect will ensure secure, resilient, and cost-governed foundations for AI workloads, including GPU platforms, networking, storage, and security. The role involves leading technical engagements, removing blockers, and industrializing repeatable patterns to support production-grade AI solutions and accelerate Microsoft Cloud consumption.

This Principal Data Scientist role focuses on leveraging AI tools to accelerate workflows and amplify team productivity within Microsoft's CoreAI Growth and Data Science team. The role involves delivering insights, reporting, models, and tools to guide product strategy and drive growth across the developer ecosystem. Key responsibilities include providing critical analyses to executives, driving alignment across stakeholders, identifying high ROI data opportunities, contributing to data insight scaling infrastructure and culture, mentoring, and operationalizing models and reporting. While the role uses AI tools, its primary focus is on data science and analytics to support product strategy and growth, rather than building core AI models.

This role is for a Director, Account Technology Strategist at Microsoft, focusing on defining and executing the technology strategy for a major global insurance customer. The role involves advising C-level executives on AI, Copilot, Security, Cloud, and Data capabilities to drive enterprise-scale transformation. It requires building trusted relationships, orchestrating internal and partner resources, and aligning technology roadmaps with business outcomes. The role is primarily customer-facing and strategic, aiming to influence and drive adoption of Microsoft's solutions within the client's organization.

Data Engineer role focused on building and operating data ingestion, transformation, and validation pipelines that power experimentation, insights, and AI features for SwiftKey. The role involves working with large-scale data systems in cloud environments, ensuring data quality, and supporting AI feature development.

Product Marketing Manager for Azure Sovereign Cloud, focusing on enabling customers in government and regulated industries to deploy advanced AI capabilities while maintaining control over data, infrastructure, operations, and compliance. The role involves owning product marketing for Azure capabilities and solutions, leading positioning, messaging, launches, campaigns, and field enablement for a strategic portfolio. It also involves shaping product direction through customer insights and market understanding, and defining customer and seller journeys for Sovereign AI solutions.

Senior Software Engineer role focused on leveraging AI tools and practices within the Finance Data & Experiences organization at Microsoft. The role involves developing and owning AI-integrated solutions, driving automation, implementing AI safety features, and championing AI-native development across the software development lifecycle to deliver high-impact business solutions.

This role is for a Principal Data Scientist & Analytics within the Microsoft Monetization Marketplace Management Team. The focus is on driving data-informed go-to-market strategy, product-led growth, and monetization initiatives by building analytics and experimentation frameworks. The role involves defining and delivering metrics, designing and implementing experiments, and collaborating with engineering and product teams to improve products and drive business impact. While the company is AI-native and the role mentions AI, the core responsibilities are centered around data science, analytics, and product strategy rather than direct AI/ML model development.