4,484 Azure jobs available for remote work from home. Apply for positions such as Sr. Enterprise Architect Oracle/SAP, Agentic AI Practice, Senior AI & Data Solutions Engineer, Solution Engineer - Cloud & AI Data Platform, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Sr. Enterprise Architect will work directly with clients to design and implement AI-enabled solutions on top of existing ERP systems like SAP and Oracle. They will lead discovery sessions, map business processes, and translate complex requirements into scalable, intelligent innovation layers.
Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to drive business value. Build and maintain robust data pipelines and enterprise data assets while ensuring data governance and security.
Drive technical sales and adoption of Microsoft's cloud data platforms through demos, hackathons, and architecture workshops. Collaborate with enterprise customers to design secure, scalable data solutions and resolve technical blockers.
The Partner Solution Sales professional is responsible for driving Azure Cloud and AI platform opportunities through a portfolio of high-performing partners in the Education and Nonprofit sectors. This role involves executing partner sales plans, managing pipelines, and orchestrating co-sell strategies to achieve quarterly sales targets.
Engage with strategic customers to clear adoption blockers and gather engineering insights to improve Windows 365 and Azure Virtual Desktop. Influence product roadmaps and train the deployment ecosystem based on technical expertise and customer feedback.
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Engage with strategic customers to gather engineering insights and clear adoption blockers for Windows 365 and Azure Virtual Desktop. Influence product roadmaps and drive ecosystem enablement by collaborating with internal engineering and marketing teams.
The role involves engaging with strategic customers to gather engineering insights and drive product improvements for Windows 365 and Azure Virtual Desktop. You will influence product roadmaps and enable the deployment ecosystem through deep technical collaboration.
The role involves designing and building next-generation networking infrastructure to support large-scale AI training and inference. You will lead architectural discussions, develop complex design specifications, and ensure the performance, scalability, and security of distributed AI systems.
Lead AI-powered digital transformation strategies for large insurance organizations by aligning Microsoft cloud solutions with business priorities. Orchestrate cross-functional teams to drive technology adoption, modernize core platforms, and ensure measurable business outcomes.
Define and execute the product strategy for GPU back-end networking to support large-scale AI training and inference workloads. Drive cross-functional alignment across hardware, software, and operations teams to deliver infrastructure from concept through deployment.
The Cloud Solution Architect will drive application modernization and infrastructure migrations by providing technical leadership and strategic guidance to customers. They will manage complex technical projects, troubleshoot blockers, and collaborate with internal teams to scale repeatable solutions and accelerate customer value.
The Industry Architect leads R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, managing technical workstreams, and developing reusable architectures to scale R&D solutions.
The Industry Architect will lead complex R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, designing technical solutions, and developing repeatable patterns to scale R&D motions across industries.
Lead the operational strategy and execution for the Salesforce platform to ensure reliability, performance, and scalable delivery of business value. Manage cross-functional teams, vendor performance, and platform governance while driving continuous improvement and operational excellence.
Design and implement automated data quality validation and monitoring processes across cloud-native data pipelines. Collaborate with stakeholders and engineering teams to translate data quality findings into actionable improvements and technical solutions.
Build and deploy production-grade AI/ML capabilities using Azure and Databricks to support enterprise data modernization. Implement MLOps practices and ensure AI solutions comply with safety, privacy, and governance standards.
The Senior Data Engineer will lead the design and implementation of scalable ingestion architectures and data models for a federal agency's cloud-native platform. They will also serve as a team lead, managing technical delivery, mentoring staff, and acting as the primary liaison between the team and customer leadership.
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The manager will lead strategic AI initiatives by acting as a hands-on tech lead while managing and mentoring a team of AI-native engineers. They are responsible for setting technical standards, managing compute budgets, and ensuring software engineering excellence across the development lifecycle.
The Senior Azure Engineer will lead the design, implementation, and evolution of enterprise cloud platforms while establishing engineering standards. They are responsible for infrastructure automation, cloud security, and providing technical leadership during critical production incidents.
Lead and mentor the sales engineering team while collaborating with sales and R&D to develop tailored technical solutions for clients. Design and deliver compelling product demonstrations and proof-of-concept engagements to showcase the value of data security solutions.
The Senior Manager leads the planning and delivery of infrastructure solutions across hybrid environments to support business objectives. They are responsible for building high-performing teams, establishing governance processes, and ensuring the scalability and security of enterprise technology.
You will modernize legacy SQL Server systems while building scalable data infrastructure to support AI applications and agents. This involves designing embedding pipelines, optimizing database performance, and implementing event-driven architectures.
The Senior AI/ML Engineer will define and own the architecture, technical standards, and governance for AI/ML platforms and agentic workflows. They will provide technical mentorship to engineering teams and partner with cross-functional departments to ensure the safe and effective integration of AI solutions.
The role involves deploying and configuring Azure cloud services while automating infrastructure using Infrastructure as Code (IaC) practices. Additionally, the candidate will build and maintain CI/CD pipelines, implement monitoring solutions, and manage disaster recovery and security protocols.
The Data Platform Engineer will design and implement the integration layer between Microsoft Fabric and the broader Azure ecosystem. They will also define data contracts and API standards while building robust pipelines to support organizational AI and machine learning initiatives.
You will design, implement, and maintain an AI Platform and Internal Developer Platform to support development and data science teams. This role involves automating cloud resource provisioning and managing platform configurations through efficient workflows.
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The Lead Analyst will manage financial reporting for enterprise data platforms, including budgets, forecasts, and cloud consumption metrics. They will partner with stakeholders to identify cost-saving opportunities and provide actionable insights to support informed financial decision-making.
The AI Engineer will architect, build, and operationalize scalable generative AI and machine learning solutions across modern data platforms. They will lead the development of production-grade LLM pipelines while mentoring team members and ensuring system reliability in a regulated healthcare environment.
The Data Science Analyst will analyze complex healthcare revenue cycle data to derive strategic insights and optimize product design. They are responsible for designing and deploying AI/ML solutions and maintaining project documentation.
The Senior Manager leads the planning and delivery of scalable infrastructure solutions across hybrid environments. They are responsible for building high-performing teams, establishing governance processes, and ensuring operational excellence through automation and standardization.
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