AI Application Developer

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:

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

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

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)

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

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