AI Application Developer

SAICWashington, DC

About The Position

SAIC is seeking an AI Application Developer to design, develop, and implement intelligent business applications leveraging Microsoft Azure, Power Platform, and modern AI services. This role combines software engineering, low-code development, and applied AI to build scalable solutions that automate processes, enhance analytics, and modernize legacy workflows. The ideal candidate has hands-on experience with Azure cloud services, Power Apps, Power Automate, and AI-driven capabilities such as Azure OpenAI, Cognitive Services, and AI Builder.

Requirements

  • Hands-on experience with Azure cloud services
  • Hands-on experience with Power Apps
  • Hands-on experience with Power Automate
  • Hands-on experience with Azure OpenAI
  • Hands-on experience with Cognitive Services
  • Hands-on experience with AI Builder

Responsibilities

  • Design, develop, and deploy AI‑enabled applications using Azure OpenAI, Azure Cognitive Services, Azure Machine Learning, and Azure Functions.
  • Develop model-driven and canvas apps using Power Apps, incorporating business logic, workflows, and AI Builder capabilities.
  • Build and maintain workflows using Power Automate, integrating across Microsoft 365, Dynamics 365, Azure, and third‑party systems.
  • Create data-driven solutions using Power BI, Dataverse, Azure SQL, and external connectors.
  • Architect and maintain cloud solutions using Azure PaaS services such as Azure API Management, Azure Service Bus, Azure Functions, App Services, and Application Insights.
  • Support integration of enterprise data sources into Azure and Power Platform using secure connectors, APIs, and integration services.
  • Design scalable, secure application components aligned with cloud governance, Zero Trust principles, and enterprise security standards.
  • Build solutions using Dataverse, SQL, and Azure data services, enabling data ingestion, transformation, and analytics.
  • Implement data governance, security, and lifecycle management across Azure and Power Platform environments.
  • Work with business units and IT stakeholders to translate requirements into scalable solutions.
  • Provide technical guidance on AI, automation, and cloud development best practices.
  • Develop documentation, architecture diagrams, and operational guides.
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