Lead Architect; AI

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.

Technology

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.

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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 Architect, you will collaborate with senior Technology and Business leaders and apply your deep technical proficiency and visionary thinking to architect AI systems that drive business value while maintaining ethical standards.

• Scope:
• Define and maintain the architectural principles, best practices, standards, and reference architectures for Travelers' AI platforms and AI-enabled products.
• Guide strategic technology decisions involving AI platforms, cloud providers, model hosting strategies, vector databases, orchestration frameworks, AI infrastructure, build-versus-buy evaluations, and platform investments.
• Lead architecture reviews for major AI initiatives and provide guidance on system design, scalability, resiliency, interoperability, security, compliance, and cost optimization.
• Establish enterprise AI integration patterns, AI architecture standards, governance frameworks, and operational processes that ensure consistency across AI and non-AI systems.
• Apply your hands‑on expertise in AI/ML, Generative AI, and Agentic AI systems — including autonomous agent design, multi-agent orchestration frameworks, Model Context Protocol (MCP), and Agent2
  
  Agent 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 strategy, selection and routing, RAG pipelines, memory systems, and tool/function‑calling patterns — while promoting reusability, interoperability, and responsible AI design.
• Help establish AI standards, best practices, governance, risk, and control processes that ensure safe, compliant, and sustainable AI deployments, informed by frameworks such as the EU AI Act, GDPR, NAIC, and NIST AI RMF, and grounded in strong AI ethics and bias mitigation principles.
• Demonstrate a strong passion for tracking and communicating the evolving AI platform roadmap — spanning foundation models, agentic frameworks, and emerging autonomous systems — while surfacing competitive landscape insights and highlighting opportunities and challenges that complement enterprise initiatives.
• Bring strong collaboration, communication, and mentoring skills to bridge complex AI concepts for non-technical stakeholders, build…