Principal Architect - AI

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve.

As a Principal Architect - AI, you will be part of the Transformation Office and serve 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.

Key Responsibilities:

• Develop and evolve 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.
• Define the end-to-end architectural vision and operating model for LLM-powered platforms, agentic systems, and conversational/automation capabilities.
• Influence enterprise prioritization and investment decisions, set cross-functional standards, and ensure AI capabilities integrate effectively with legacy and modern environments across AWS and Azure.
• Establish and govern the enterprise agentic AI strategy and platform blueprint, including design, deployment, and lifecycle management of autonomous and semi-autonomous agents.
• Define enterprise integration patterns that enable AI solutions to interface with legacy platforms and modern cloud services.
• Partner with data, analytics, and platform teams to define shared enterprise data architectures, ontologies, governance models, and operating practices that enable AI, agentic workflows, and advanced analytics at scale.
• Serve as the executive technical authority to security, risk, legal, compliance, and audit stakeholders,ensuring AI solutions align with model risk, privacy, security, regulatory requirements, and Responsible AI principles.

Requirements:

• 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, with 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; deep mastery of agentic frameworks (e.g., LangGraph, CrewAI) required.
• Proven experience establishing enterprise AI governance, driving cross-LOB adoption, and operationalizing AI solutions within security, risk, and compliance constraints.

Skills & Knowledge:

• Enterprise leadership and influence
• Architectural authority
• Technical depth (Python, SQL, PySpark, vector stores, LLM platforms, AI/ML lifecycle management)
• Cloud & platform expertise (AWS, Azure, Palantir Foundry/AIP)
• Transformation leadership
• Business value orientation