AI Solution Architect (Insurance) - Agentic AI & Azure

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).