Enterprise Architect - P&C Insurance

The Enterprise Architect will shape and govern the technology architecture for the Property & Casualty (P&C) Insurance business, focusing on Agentic AI adoption, digital solution architecture, API-first strategy, and core systems modernization. The role partners with business leaders, product teams, and delivery organizations to deliver a future‑ready, AI‑enabled, composable insurance architecture that accelerates time‑to‑market, improves operational efficiency, and supports new business models.

• Define and maintain the target enterprise architecture for P&C insurance across underwriting, policy administration, claims, billing, reinsurance, and distribution. • Develop domain‑level reference architectures aligned to business capabilities, value streams, and operating models. • Translate business strategy into clear architectural roadmaps and investment‑guiding principles. • Define the architecture for Agentic AI, including autonomous agents, orchestration layers, decision engines, and human‑in‑the‑loop models. • Embed AI agents into core insurance processes such as FNOL, claims handling, underwriting triage, fraud detection, and agent assist. • Establish guardrails for AI governance, ethics, security, explainability, and regulatory compliance. • Architect digital platforms for omnichannel experiences and guide the evolution of portals, mobile apps, workflow tools, and low‑code/no‑code platforms. • Own the API‑first and event‑driven architecture strategy, defining standards for REST, event streaming, and async integration patterns. • Lead the modernization of core P&C systems, balancing legacy decomposition, SaaS platforms, microservices, and composable architectures. • Establish and lead architecture governance, including standards, principles, and design reviews, and provide decision support for major initiatives.

• 12+ years of experience in enterprise or solution architecture roles. • Strong experience in P&C insurance (carrier‑side preferred). • Proven track record in large‑scale digital transformation and core modernization. • Hands‑on experience with API platforms, integration architecture, and cloud‑native designs. • Solid understanding of AI/ML architectures, with practical exposure to intelligent automation or agent‑based systems. • Knowledge of enterprise architecture frameworks (e.g., TOGAF, ArchiMate), cloud platforms (Azure, AWS, or GCP), microservices, event‑driven architectures, integration middleware, core insurance platforms, and data/AI analytics platforms.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.