AI Application Developer (Houston)

Position Overview: We are seeking a highly skilled Application Developer with strong expertise in Microsoft Azure and AI-driven solutions to design, develop, and deploy intelligent automation platforms. This role focuses on building scalable, secure, and compliant applications supporting court operations, permitting workflows, and real-time translation services. The ideal candidate will have hands-on experience in Azure-native development, AI/ML (especially NLP), and secure system architecture, preferably within regulated environments.

Key Responsibilities: 1. Solution Design & Delivery Design, develop, test, and deploy AI-powered solutions across: CORA (Court Operations & Record Automation): Transcription, summarization, document classification, evidence extraction PermitIQ (Permitting Automation Platform): Document processing, administrative review automation, applicant guidance Lingual ink (Real-Time Translation Intelligence): Multilingual translation pipelines using responsible AI Develop scalable AI agent frameworks and automation workflows Ensure seamless integration with court systems, county platforms, and CCO systems 2. Azure Development & Integration Build and integrate Azure-native solutions including: Data pipelines and orchestration workflows Application services and APIs AI and cognitive service integrations Secure networking and infrastructure Implement CI/CD pipelines using Azure DevOps Follow DevOps best practices for deployment and monitoring 3.

AI & Data Engineering Develop and deploy AI/ML models focused on Natural Language Processing (NLP): Transcription Summarization Classification Translation Integrate Azure OpenAI and Cognitive Services into production systems Implement Responsible AI practices (accuracy, fairness, transparency) 4. Security & Compliance Ensure compliance with InfoSec, data governance, and regulatory standards (including HIPAA where applicable) Design secure architectures using: Azure Key Vault Virtual Networks (VNets) Firewalls and secure endpoints Maintain documentation for audit and compliance readiness 5. Collaboration & Support Work closely with business and technical stakeholders to gather requirements Support user onboarding and post-deployment stabilization Provide documentation, training, and knowledge transfer to internal teams Required Technical Skills:- Microsoft Azure Data & Integration: Azure Data Factory, Azure SQL / Managed Instance, Azure Storage (Blob, ADLS) Application Development: Azure Functions, Logic Apps, API Management, Azure DevOps (CI/CD, repos, secrets management) AI & Cognitive Services: Azure Cognitive Services, Azure Open AI, AI model deployment Security & Networking: Azure Key Vault, Virtual Networks, firewalls, secure endpoints Core Competencies Strong experience in AI/ML development, especially NLP and automation Expertise in API design and system integration Solid understanding of cloud architecture and distributed systems Knowledge of data governance and compliance frameworks Hands-on experience with DevOps and CI/CD pipelines Preferred Qualifications (Nice to Have):- Experience working in government, judicial, or regulated environments Familiarity with CJIS compliance standards Exposure to enterprise-scale AI implementations