AI Solution Architect; Insurance - Agentic AI & Azure

AI Solution Architect (Insurance) — Agentic AI & Azure

Location:

Remote, Texas (US-TX)

• 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.
• 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.
• 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.
• 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.
• Provide architectural oversight across delivery teams; run design reviews and client workshops.
• Lead pre‑sales solutioning, reference architectures, demos, and technical storytelling.

• 7+ years in solution architecture or enterprise technology roles.
• 3+ years delivering solutions in 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%.

• Experience with multi‑agent frameworks or orchestration layers (e.g., Semantic Kernel, Lang Chain, Autogen, custom planners).
• Exposure to Copilot‑style architectures and enterprise conversational AI (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).

Pay range: $204,105 - $285,700 for this remote role. Compensation may vary based on location, experience, and qualifications.

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.