Lead Architect , AI Solutions Architecture - PI

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 $169,400.00 - $279,600.00 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 Lead Archit [... source excerpt omitted ...] ing autonomous agent design, multi-agent orchestration frameworks (LangChain, Strands, Crew AI), Model Context Protocol (MCP), and Agent2Agent integration — to architect scalable, production-grade AI solutions across the enterprise • Provide consulting expertise to division and domain architects, driving architecture alignment across lines of business and serving as a champion for establishing an enterprise AI solutions architecture practice • Align AI platform capabilities to the strategic needs of business groups — spanning LLM selection and routing, RAG pipelines, memory systems, and tool/function-calling patterns — while promoting reusability, interoperability, and responsible [... source excerpt omitted ...] sound judgment, making decisions and committing to a position. Advanced and effective verbal, written and listening communication skills. Proven track record defining scalable, production-grade AI systems, including distributed and parallel processing architectures Hands-on expertise in AI/ML development and deployment, with deep knowledge of ML algorithms, neural network architectures, and optimization techniques Strong mathematical foundation in linear algebra, statistics, and probability theory, supporting rigorous model design and evaluation Experience with MLOps & AI Ops practices and CI/CD pipelines for AI/ML systems Hands-on experience with agentic coding tools such a