Teams at AIS (Applied Information Sciences)

Lead architecture for Power Platform applications, workflows, integrations, and data solutions for a federal customer. Translate legacy forms and approval processes into modern cloud-native designs, establish environment, security, governance, ALM, data, and release strategies, and lead design reviews. Facilitate requirements workshops, create technical documentation, define reusable standards, and communicate with business, security, engineering, and development stakeholders.

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.