Jobs at AIS (Applied Information Sciences)

The Cloud Systems Engineer will manage cloud networks, perform system integration and validation, identify process improvements, and support enterprise AWS environments.

The role focuses on ensuring stability and operations of cloud systems, performing integration and validation, and driving improvements in infrastructure management.

Operate and maintain Azure and Microsoft 365 services, including monitoring, identity, networking, compute, storage, collaboration, governance, backups, access, and capacity management. Investigate incidents and performance issues, implement approved changes, support releases, document configurations, create runbooks and dashboards, and assist with service transitions. Collaborate with project teams, users, engineers, and vendors while following ticketing, change-control, service-level, and knowledge-management processes.

Designs and supports secure integrations and automation services connecting Power Platform, Azure, SharePoint, enterprise systems, flat files, and external partners. Builds Azure Functions, Logic Apps, custom connectors, data transformations, error-handling workflows, monitoring, alerts, and automated tests. Responsibilities include secure authentication, encryption, secrets management, least-privilege access, legacy Java component modernization, production troubleshooting, observability, and integration support documentation.

Designs secure Azure data pipelines and analytics foundations using Databricks and ADLS Gen2. Responsibilities include modernizing Oracle workloads, developing medallion data models, implementing data quality and monitoring practices, integrating curated datasets with Power BI, and establishing secure Azure Government identity, network, storage, and access patterns. The role also requires documentation, operational support, stakeholder collaboration, and performance optimization.

Build, secure, and operate an Azure Government AI platform supporting Azure AI Foundry and approved generative AI models. Configure AI projects, deployments, networking, identities, monitoring, cost controls, and integrations. Automate repeatable infrastructure and release processes, troubleshoot across cloud layers, and create operational documentation. The role requires strong Azure engineering, AI platform, security, networking, monitoring, and scripting experience, with responsibility for reliable developer experiences and governed AI usage.

Leads stakeholder discovery, requirements gathering, process mapping, backlog management, delivery planning, risk tracking, sprint ceremonies, UAT, acceptance readiness, change management, training, and service transition for complex Microsoft cloud modernization projects supporting a federal customer. Bridges business stakeholders and technical delivery teams while coordinating cross-functional dependencies, executive reporting, and customer communications.

Designs, implements, and optimizes secure Azure Virtual Desktop environments, including host pools, session hosts, images, scaling, application delivery, profiles, FSLogix, Entra ID, Intune, networking, and monitoring. The role also supports Citrix migrations, performance and capacity validation, troubleshooting, deployment standards, operational runbooks, and knowledge transfer in a secure federal enterprise environment.