Corporate Architect - AI Focused

Travelers•Hartford, CT

About The Position

Travelers is seeking an Architect to join our organization as we grow and transform our Enterprise Technology Solutions organization. This Architect role sits in Corporate Architecture and is focused on AI Solution Architecture across the division. Our Architects are responsible for designing and guiding the technology vision that enables business transformation, specializing in creating enterprise-wide solutions that bridge current capabilities with future possibilities. This strategic position requires strong architecture fundamentals and hands-on experience designing AI-enabled solutions using cloud-native technologies and modern integration patterns (APIs, event-driven messaging, and MCP) to establish scalable architectures where business applications can evolve and thrive. The ideal candidate orchestrates the technical strategy that empowers development teams - defining target states, creating technology roadmaps, and establishing architectural frameworks that accelerate innovation while maintaining standards and governance. As the essential bridge between business strategy and technical implementation, this role directly impacts organizational agility, system integration, and the enterprise's ability to rapidly adapt and scale technology solutions across the business landscape. Because this role supports corporate technology and corporate business units, experience in one or more corporate capabilities (e.g., Finance, Investments, Billing & Payments, Procurement, Legal, etc.) is strongly preferred.

Requirements

Bachelor’s in technology related field or equivalent with 6 years of demonstrated engineering experience or 2 to 3 years of technology architecture experience.
Recent hands-on architecture and/or engineering experience with modern technologies.
Experience with successful execution of modernizing technology initiatives.
Experience with modern integration patterns (API-first and event-driven architecture); familiarity with MCP is a plus.
Exposure to or experience with AI solution patterns (e.g., LLM-enabled applications and operational considerations such as evaluation, observability, latency, and cost) is strongly preferred.
Experience working in an agile operating model.
Insurance technology experience preferred (corporate capability experience such as Finance, Investments, Billing & Payments, Procurement, Legal, etc. is strongly preferred).
Understanding of value creation and business capability models.
Knowledge of the insurance industry.
Able to identify and analyze current/future problems and opportunities, evaluate information to understand root causes, and explore alternative solutions for effective decision-making.
Ability to work collaboratively with teammates to achieve mutually responsible results.
Experience exercising sound judgment, making decisions and committing to a position.
Effective verbal, written and listening communication skills.
Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
4 additional years of architecture/software engineering experience.

Nice To Haves

Familiarity with MCP is a plus.
Experience in one or more corporate capabilities (e.g., Finance, Investments, Billing & Payments, Procurement, Legal, etc.) is strongly preferred.
Insurance technology experience preferred.
Knowledge of the insurance industry.

Responsibilities

Responsible for architecture within a specific segment or domain within Corporate Architecture, supporting corporate technology and corporate business units.
Enable reusable AI patterns that can be adopted across multiple teams and products.
Contribute to target state architecture and roadmaps, with an emphasis on scalable AI adoption across corporate domains.
Support technology modernization initiatives.
Help minimize technical debt through continuous transformation.
Build foundational relationships and encourage buy-in.
Partner with the Enterprise AI Architect to align corporate-domain AI solutions to enterprise reference architectures, standards, and governance.