4,797 Azure jobs available for remote work from home. Apply for positions such as Dynamics 365 CE Data Migration Consultant, MD-RAG Engineer, Sr. Analyst - Business Data Services 4A, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The consultant will plan, build, and execute complex data migrations from legacy CRM systems into Microsoft Dynamics 365 CE. They will also perform data cleansing, validation, and reconciliation to ensure high-quality data transitions across multiple client projects.
Develop and implement advanced RAG solutions for Generative AI and LLM projects. Collaborate on cutting-edge AI initiatives across various business sectors.
The Senior Analyst will manage sample requests for multiple countries while ensuring compliance with operational guidelines and service levels. They will also analyze operational data to prepare reports, monitor KPIs, and support continuous improvement initiatives to enhance efficiency.
The Product Manager III is responsible for defining product strategy, roadmaps, and execution across a portfolio of data platforms and business applications. This role involves leading and mentoring product teams while collaborating with stakeholders to deliver measurable business value.
The Presales Solution Engineer acts as a technical bridge between sales and clients, designing complex data and AI solution architectures. Responsibilities include leading technical discovery, delivering product demonstrations, executing proof-of-concepts, and supporting the sales cycle through technical expertise.
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You will own the end-to-end delivery of features across the full stack, from backend services and database schemas to web interfaces. This involves designing, building, testing, and maintaining scalable, secure, and high-performance biometric identity solutions.
Design, build, and maintain scalable Workday integrations across HR, Payroll, and Finance domains while ensuring reliability and security. Lead the full integration lifecycle and partner with cross-functional teams to translate business requirements into technical specifications.
The engineer will design, deploy, and maintain secure data and AI platforms while managing CI/CD pipelines and infrastructure as code. They will also enforce security governance and optimize cloud performance across the organization.
The AI Consultant will design and build intelligent agents using Microsoft's AI stack to help clients transition from experimentation to scaled deployment. They will facilitate workshops, define business requirements, and provide ongoing support and governance for AI solutions.
You will design and develop AI-powered features end-to-end, integrating LLMs and retrieval systems into internal tools and processes. Additionally, you will analyze internal workflows to identify and implement automation opportunities while ensuring all solutions are documented, testable, and GDPR-compliant.
Design, build, and maintain core capabilities of the enterprise Platform-as-a-Service (PaaS) while driving automation and operational excellence. Lead technical initiatives, mentor junior engineers, and collaborate with cross-functional teams to ensure secure and scalable infrastructure.
The Digital Product Manager will define the vision and strategy for network connectivity capabilities while collaborating with cross-functional teams to deliver innovative solutions. They are responsible for managing the product roadmap, prioritizing the backlog, and monitoring performance metrics to ensure business goals are met.
You will lead the modernization of the data stack by designing and building the platform backbone for governed reporting and AI workflows. This involves managing ingestion patterns, warehouse design, and ensuring pipeline reliability through cross-functional collaboration.
Act as a bridge between business and technology teams to drive digital transformation and cloud initiatives. Collaborate with stakeholders to align technology solutions with strategic organizational goals.
You will design, develop, and maintain robust data warehouse solutions and ETL processes within the Azure ecosystem. The role involves collaborating with stakeholders to deliver scalable reporting solutions while ensuring data quality and integrity.
Design, build, and maintain core capabilities for the enterprise Platform-as-a-Service (PaaS) to enable rapid application deployment. Drive engineering excellence by developing scalable automation, mentoring junior engineers, and partnering with cross-functional teams to improve platform reliability and developer productivity.
The manager will lead a team of QA analysts and testers to support data labeling and compliance through the creation of test plans and automation of testing processes. They are responsible for performing user acceptance testing for enterprise applications and communicating results to key stakeholders.
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The Sr. Analyst will develop and execute detailed test cases to assess software functionality and performance while documenting defects and observations. They will collaborate with developers and stakeholders to review testing results and ensure products meet established quality standards.
The Senior Software Engineer will design, develop, and maintain software solutions for healthcare state reporting and compliance. They will collaborate with cross-functional teams to debug applications, perform code reviews, and ensure the delivery of scalable and reliable systems.
The Sr Security Architecture Manager will design and implement secure architectural frameworks for AI and machine learning ecosystems. They will also conduct risk assessments, ensure regulatory compliance, and provide expert guidance to engineering and data science teams.
Develop, maintain, and integrate mission-critical systems and application software using C and C++. Coordinate software development activities, track project schedules and milestones, and provide status updates to program leadership.
The engineer will bridge legacy insurance platforms with modern AI technologies by transforming COBOL systems into scalable AI-enabled solutions. They will also serve as a technical lead and mentor for AI strategy within the Life Underwriting department.
You will lead applied AI projects from concept to impact, acting as an internal consultant to help teams deploy practical machine learning and generative AI solutions. You will also design robust experiments, build evaluation pipelines, and bridge the gap between research and production to ensure scalable, secure AI systems.
The Microsoft Intune Architect is responsible for designing, implementing, and maintaining enterprise-wide mobile device and application management solutions. This role involves leading migration projects, developing modern device management strategies, and ensuring compliance with federal cybersecurity standards.
The manager will lead platform engineering efforts, including CI/CD pipeline management and developer enablement tooling. They will also oversee cloud FinOps practices, such as budget forecasting and cost governance, while mentoring a team of engineers.
The consultant will design, optimize, and maintain scalable ETL/ELT pipelines and Databricks environments for advanced analytics and AI. They will collaborate with stakeholders to ensure data quality, security, and performance across cloud-based data platforms.
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The consultant will design, optimize, and maintain scalable ETL/ELT pipelines and Databricks environments for advanced analytics and machine learning. They will collaborate with stakeholders to implement data governance and security standards while driving continuous improvement in data infrastructure.
The consultant will design, optimize, and maintain scalable ETL/ELT pipelines and Databricks environments for advanced analytics and AI. They will collaborate with stakeholders to implement data governance and security standards while driving continuous improvement in data infrastructure.
The role involves deploying and maintaining IT infrastructure, including networking, cloud services, and Microsoft 365 environments for a diverse client base. You will also provide advanced technical support, lead infrastructure projects, and ensure the stability and security of client systems.
The Salesforce Business Analyst will gather and document functional requirements while translating business objectives into detailed specifications. They will also facilitate stakeholder sessions and collaborate with technical teams to support Salesforce implementation and optimization initiatives.
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