Senior Architect, AI Solutions Architecture - ETS

Who Are We? Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it. Job Category Technology Compensation Overview The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards. Salary Range $139,400.00 - $230,000.00 Target Openings 1 What Is the Opportunity? Collaborative Environment, Transformational Projects, and a Growing Team! As a member of AI and Emerging Technology Architecture, you'll be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class solutions. As a Senior Arch [... source excerpt omitted ...] tonomous agent design, orchestration frameworks (LangChain, Strands, Crew AI), and integration patterns such as Model Context Protocol (MCP) — to architect and implement scalable, production-grade AI solutions aligned to line-of-business needs • Partner with Lead Architects and domain teams to advance the enterprise AI solutions architecture practice, contributing reusable patterns, reference architectures, and design standards that promote consistency and interoperability across initiatives • Translate business requirements into practical AI platform designs — spanning LLM integration, RAG pipelines, memory systems, and tool/function-calling patterns — with a focus on delivering w [... source excerpt omitted ...] emini AI), with awareness of multi-cloud and SaaS AI and agentic capabilities Working knowledge of responsible AI principles, AI ethics, and compliance considerations relevant to production AI deployments Awareness of AI governance frameworks and risk management practices, with ability to apply established standards within defined guardrails What is a Must Have? Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience. 6 additional years of architecture/software engineering experience. What Is in It for You? Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and childre