VDart, Inc.

Compensation

Full Description

Job Title: AI Solution Architect (Insurance) - Agentic AI & Azure Location: Texas (Remote) Type: Contract Key Responsibilities Agentic AI Architecture • Design end to end agentic solutions on Azure, from interaction to orchestration to observability. • Define multi agent patterns that collaborate across underwriting, claims, and servicing. • Apply Azure OpenAI, prompt orchestration, tool/skills calling, memory, and planning patterns. • Establish autonomy guardrails, human in the loop checkpoints, and decision traceability. Insurance Use Case Enablement • Build LLM driven reasoning + retrieval for document intensive flows (FNOL, submissions, endorsements, SIU, etc.). • Deliver conversational and task agents that integrate with core insurance platforms and data. Platform & Integration • Use Azure AI Studio, Azure OpenAI, Azure Cognitive Search, Functions, Logic Apps, Service Bus. • Design secure integrations with policy admin, claims, billing, CRM, and document management systems. • Implement RAG patterns using Azure data and search services with content safety and observability. Governance, Security & Compliance • Architect to insurance regulatory requirements (privacy, retention, auditability). • Implement prompt safety, content filtering, audit logging, and explainability. • Enforce identity, access, and data protection with Azure native security services. Technical Leadership & Advisory • Provide architectural oversight across delivery teams; run design reviews and client workshops. • Lead pre sales solutioning, reference architectures, demos, and technical storytelling. Minimum Qualifications • 7+ years in solution architecture or enterprise technology roles (e.g., architect, principal engineer, platform lead). • 3+ years delivering solutions for the insurance domain (P&C, Life, Health, or Reinsurance) in a carrier, MGA/MGU, broker, or consulting context. • 2+ years architecting or building LLM/GenAI applications in production or regulated enterprise settings. • 2+ end to end Azure hosted AI solutions delivered (from design to deployment) with measurable adoption. • Bachelor's degree in Computer Science, Engineering, Data/AI, or related field. • Ability to travel 30%. Preferred Qualifications • Experience with multi agent frameworks or orchestration layers (e.g., Semantic Kernel, LangChain, AutoGen, custom planners). • Exposure to Copilot style architectures and enterprise conversational AI (e.g., role grounding, tool/plugin ecosystems). • Azure certifications (e.g., AZ 305 Azure Solutions Architect Expert, AI 102 Azure AI Engineer Associate). • Consulting background with client facing architecture leadership (pre sales, roadmaps, value cases).