Delivery Module Lead

Delivery Module Lead

JOB DESCRIPTION - AZURE AI DOCUMENT INTELLIGENCE ENGINEER

Intelligent Document Processing | OCR | Extraction | Classification | Insurance

Role Summary

Seeking a hands-on Azure AI Document Intelligence Engineer with 8+ years of experience in software, data or AI engineering and strong expertise in intelligent document processing. The role will design and implement secure, scalable document ingestion, OCR, classification, extraction, validation and search workflows using Azure AI Document Intelligence, supported by Insurance and Benefits Management domain experience.

Key Responsibilities

• Design end-to-end document-processing pipelines for PDFs, scans, images, email attachments and enterprise repositories.
• Implement Azure AI Document Intelligence Read, Layout, prebuilt, custom extraction and custom classification models.
• Define document taxonomies, extraction schemas, field mappings, table structures and confidence-based processing rules.
• Build ingestion, preprocessing, splitting, classification, extraction, validation, enrichment and structured-output workflows.
• Develop custom models for variable insurance documents and compose models for multi-document processing.
• Implement human-in-the-loop review and exception handling for low-confidence, missing or inconsistent fields.
• Integrate extracted content with Azure AI Search, semantic/vector search, Databricks, APIs, workflows and downstream systems.
• Establish accuracy, completeness, straight-through-processing, latency and failure metrics with test datasets and regression suites.
• Implement managed identities, Key Vault, RBAC, encryption, private connectivity, audit logging, retention and privacy controls.
• Collaborate with data, AI, application, QA, security and DevOps teams and provide technical guidance to junior engineers.

Mandatory Technical Skills

Azure AI Document Intelligence; Document Intelligence Studio; REST APIs and Azure SDKs; Read and Layout models; prebuilt and custom extraction models; custom classification and composed models; OCR; document preprocessing; confidence scores; human review workflows; Python and/or C#; JSON and schema mapping; Azure Functions; Logic Apps or equivalent orchestration; Azure Blob Storage and Event Grid; Azure AI Search; semantic and vector indexing; Azure OpenAI or approved LLM integration; RAG document preparation; Azure Key Vault; managed identities and RBAC; Application Insights and Azure Monitor; Git, CI/CD, automated testing and infrastructure as code.

Experience and Qualifications

• 8+ years of software, data or AI engineering experience, including hands-on delivery of document-processing or content-extraction solutions.
• Proven experience building production workflows with Azure AI Document Intelligence or comparable intelligent-document-processing technology.
• Experience training, evaluating and tuning classification and extraction models across varied document layouts and quality levels.
• Strong API integration, Python or C# development, cloud security, monitoring and production-support skills.
• Experience integrating extracted content with search, analytics, workflow, data and AI platforms.
• Bachelor’s degree in Computer Science, Information Technology, Data Science or a related discipline; Azure AI certification is preferred.

Domain Experience

• Insurance or employee-benefits experience involving policy, plan, enrollment, eligibility, carrier, claims, billing or renewal documents.
• Understanding of regulated, sensitive and health-adjacent information and the need for traceability and auditability.
• Experience with document-grounded AI assistants, semantic search or renewal and prospect document analysis is advantageous.

Core Competencies

Hands-on engineering, extraction-quality ownership, analytical problem-solving, secure design, test discipline, technical documentation, stakeholder collaboration and the ability to convert complex document structures into reliable, governed data products.