[Hiring] Principal Architect - AI @Sedgwick

Role Description

The AI Principal Architecture within the Transformation Office serves as the enterprise executive accountable for AI architecture strategy, governance, and platform direction—driving large-scale business transformation through applied Generative AI, Agentic AI, and advanced intelligence capabilities. This role establishes and evolves the enterprise “intelligence layer” as a strategic capability, ensuring AI is delivered securely, ethically, and at scale across the organization’s Lines of Business, shared services, and core technology ecosystem.

Operating at the intersection of enterprise architecture, product/platform strategy, risk governance, and execution oversight, this leader defines the end-to-end architectural vision and operating model for LLM-powered platforms, agentic systems, and conversational/automation capabilities. The role influences enterprise prioritization and investment decisions, sets cross-functional standards, and ensures AI capabilities integrate effectively with legacy and modern environments across AWS and Azure, translating complex AI innovation into measurable business value and operational outcomes.

Qualifications

• Master’s degree in AI, Machine Learning, Computer Science, Engineering, or a quantitative discipline from an accredited college or university preferred.
• Ten (10+) years of related, progressive experience in enterprise architecture, platform architecture, or large-scale solution architecture.
• Seven (7+) years leading delivery and/or architecture of enterprise-scale GenAI, RAG, and Agentic AI capabilities in complex corporate environments.
• Demonstrated executive-level expertise with AWS AgentCore and Azure AI Agent Service.
• Proven experience establishing enterprise AI governance, driving cross-LOB adoption, and operationalizing AI solutions within security, risk, and compliance constraints.

Requirements

• Ability to drive alignment and decision-making with executive stakeholders across Technology, Security, Risk, Legal/Compliance, and Lines of Business.
• Expert ability to bridge Data Science, AI Engineering, and Enterprise Architecture.
• Advanced mastery of Python, SQL, and PySpark.
• Deep expertise in vector stores (e.g., Pinecone, OpenSearch, Azure AI Search), LLM platforms, and AI/ML lifecycle management.
• Proven leadership in AWS and Azure enterprise environments.
• Demonstrated success operating within a Transformation Office or enterprise innovation function.
• Ability to translate architecture decisions into measurable outcomes, cost efficiency, operational resilience, and risk reduction.
• Ability to work in a team environment.
• Ability to meet or exceed Performance Competencies.

Benefits

• Work-life balance.
• Caring culture.