4,481 Azure jobs available for remote work from home. Apply for positions such as Senior Data Scientist, Staff Reliability Engineer, BSA/AML Program Analyst, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will provide technical leadership for applied AI and data science initiatives, guiding complex projects from concept to production. You will also act as a senior consultant to cross-functional teams to identify high-value opportunities and establish best practices for AI and GenAI solutions.
Design, build, and operate cloud-native engineering platforms to enhance software validation, release confidence, and production readiness. Collaborate with engineering teams to implement automation, observability, and reliability signals while mentoring staff on best practices.
The BSA/AML Program Analyst supports initiatives through requirements gathering, project coordination, and delivery tracking. They are responsible for maintaining project boards, developing dashboards, and facilitating planning sessions to ensure program alignment.
Design, develop, and maintain full-stack applications using React, Angular, and .NET technologies while collaborating with cross-functional teams. Implement cloud-based solutions on Azure, manage RESTful APIs, and utilize DevOps practices to ensure continuous integration and delivery.
The Data Scientist will analyze incident and performance trends to identify service improvements and resolve operational issues using Splunk and cloud-native monitoring tools. They will also develop predictive models, algorithms, and prototypes to enhance data quality and automation across enterprise systems.
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The Identity and Access Management Systems Engineer is responsible for supporting and optimizing IAM systems to ensure the integrity and availability of authentication and authorization services. This role involves executing system changes, providing Tier 3 technical support, and managing complex identity infrastructures globally.
Lead end-to-end software delivery, product engineering initiatives, and architectural governance for cloud-hosted and AI-enabled enterprise applications. Act as a trusted advisor to clients while ensuring delivery commitments are met across scope, quality, budget, and timelines.
The Principal Cybersecurity Engineer leads the design and implementation of security architectures for enterprise networks and operational technology environments. This role collaborates with cross-functional teams to integrate security requirements into Agile initiatives and ensures the resilience of critical rail infrastructure.
The Principal Solutions Architect will serve as the technical subject matter expert for the AI Security portfolio, driving architecture strategy and technical wins across infrastructure, application, and public-facing AI domains. They will lead technical discovery, develop reference architectures, and partner with product management to shape the AI security roadmap.
The role involves designing, developing, and integrating custom plugins and middleware within the TAK ecosystem to support mission-critical tactical systems. You will also architect data pipelines and maintain TAK Server instances across diverse cloud and edge environments.
The role involves developing and integrating AI and data solutions using Databricks, SAP, and cloud AI services. You will also design ETL pipelines, automate data workflows, and provide operational support for data systems.
The analyst will monitor and embed data quality controls across the full data lifecycle, from ingestion through to reporting. They will collaborate with stakeholders to define quality rules, manage master data, and maintain metadata and lineage catalogs to ensure data accuracy and trustworthiness.
The Generative AI Engineer will design, build, and maintain production-grade GenAI systems, including agentic workflows and RAG pipelines. They are responsible for defining technical standards, ensuring operational reliability, and implementing security and governance controls for AI deployments.
The Technical Account Manager serves as a trusted advisor and technical leader, orchestrating resources to ensure customer success and platform adoption. They are responsible for leading technical onboarding, driving renewals, and conducting business reviews to showcase cost savings and automation value.
The Solution Architect will translate complex business problems into buildable technical designs and provide hands-on architectural guidance for delivery teams. They will also balance client-facing pre-sales activities with internal operational architecture and system prototyping.
The senior developer will take ownership of a complex production codebase and lead the design, development, and maintenance of cloud-native microservices. They will also collaborate with operations teams to ensure high availability, security, and performance of mission-critical applications in AWS GovCloud.
The Lead AI Engineer sets the technical direction for advanced analytics, machine learning, and applied AI to improve business performance and guest experiences. They design and deliver analytical products and AI-powered solutions while governing quality and risk for production assets.
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The Principal Cloud Architect will define the cloud architecture vision and roadmap while designing resilient, secure, and cost-efficient infrastructure for the SaaS platform. They will also lead the enablement of AI and data platforms, collaborating with cross-functional teams to establish infrastructure standards and governance.
The Regulatory Reporting Business Analyst translates complex mortgage servicing regulatory obligations into clear, executable reporting requirements for development teams. They are responsible for performing substantive quality reviews, validating report accuracy, and managing the end-to-end regulatory reporting pipeline.
The AI/ML Architect SME will define and maintain a scalable, modular AI/ML architecture while implementing end-to-end pipelines for data ingestion, model training, and deployment. They will also integrate MLOps best practices and leverage Infrastructure-as-Code to manage cloud-based AI/ML infrastructure in compliance with federal standards.
The Senior Analyst is responsible for identifying test calculation scenarios, executing them within retirement software, and verifying results to ensure accuracy. They also collaborate with multidisciplinary teams to resolve anomalies and contribute to the continuous improvement of verification processes.
Translate business needs into robust, scalable, and secure technical solutions while defining AS IS and TO BE architectures. Lead digital transformation initiatives, mentor technical teams, and ensure adherence to security, compliance, and resilience standards.
The AI Architect will define the target-state AI architecture and lead the build of a central AI platform to consolidate and scale AI capabilities across all product lines. This role involves managing vendor relationships, establishing AI governance, and mentoring engineering teams on safe and efficient AI deployment.
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Design and build backend services for analytics and reporting while ensuring high standards of code quality and performance. Collaborate with cross-functional teams to deliver features and mentor engineers to improve development practices.
Define enterprise AI strategies and lead large-scale AI transformation programs for global clients. Build and grow client relationships while managing multidisciplinary teams to deliver innovative AI solutions.
The Solution Architect owns the end-to-end design of company initiatives, translating business intent into precise, buildable technical specifications. They validate these architectures by personally building reference implementations and scaffolding before handing them off to development teams.
Provide technical leadership in the design and delivery of cloud-native solutions while engaging with customers to identify requirements. Implement DevOps processes, CI/CD pipelines, and infrastructure as code to support enterprise-scale public cloud services.
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