Azure AI Engineer

Key Responsibilities

Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding. Solution Design & Delivery Design, build, test, and deploy AI-powered solutions for: CORA (Court Operations & Record Automation):

Transcription, summarization, document classification, and evidence extraction PermitIQ (Permitting Automation Platform):

Administrative completeness review, document extraction/classification, and applicant guidance LinguaLink (Real-Time Translation Intelligence):

Multilingual translation pipelines using responsible AI practices Develop scalable AI agent frameworks and automation workflows Ensure seamless integration with court systems, county platforms, and CCO systems Azure Development & Integration Build and integrate Azure-native components across: Data pipelines and orchestration Application services and APIs AI and cognitive services Security and networking infrastructure Implement CI/CD pipelines and DevOps best practices AI & Data Engineering Develop and deploy AI models for NLP tasks including transcription, summarization, classification, and translation Implement responsible AI practices, ensuring accuracy, fairness, and transparency Integrate AI services (including Azure OpenAI and Cognitive Services) into production workflows Security & Compliance Ensure all solutions meet InfoSec, data governance, and regulatory compliance requirements (including HIPAA where applicable) Implement secure architecture using Azure Key Vault, VNets, and secure endpoints Maintain thorough documentation for compliance and audit readiness Collaboration & Support Partner with stakeholders to gather requirements and refine technical solutions Support user onboarding and post-deployment stabilization Provide training, documentation, and knowledge transfer to internal teams

Required Technical Skills Microsoft Azure Data & Integration:

xsgimln Azure Data Factory, Azure SQL/Managed Instance, Azure Storage (Blob, ADLS) Application Development:

Azure Functions, Logic Apps, API Management, Azure DevOps (CI/CD, repositories, secrets management) AI & Cognitive Services:

Azure Cognitive Services, Azure OpenAI, AI model deployment Security & Networking:

Azure Key Vault, Virtual Networks, firewalls, secure endpoints Core Competencies AI/ML development with a focus on NLP and automation API design and system integration Cloud architecture and distributed systems Data governance and compliance frameworks DevOps and CI/CD pipeline implementation