Senior Solutions Architect

Senior Solutions Architect

Travelers is seeking a Senior Solutions Architect to join our Enterprise Technology Solutions organization. This is a senior-level architecture role focused on designing, documenting, and guiding the technical direction of software systems that support business transformation. You will work directly alongside engineering teams to shape how solutions are architected – defining AI-native, cloud-native and large-scale architectural patterns, evaluating design trade-offs, writing Architecture Decision Records (ADRs), and presenting multiple solution options with clear pros and cons. You'll be building this platform from the ground up, giving you the rare opportunity to shape its architectural foundation. This role is ideal for experienced architects who want to bring their expertise to a larger, more complex enterprise environment.

Scope: Responsible for architecture within one or more segments or domains, supporting a platform modernization effort for a single business unit.

Technical Execution: Translate technology strategy and business direction into actionable architecture roadmaps, ensuring architectural decisions align with organizational priorities and investment goals. Identify architectural opportunities and risks that have strategic implications, and proactively surface them to engineering leadership with clear options and recommendations. Design and drive an AI-first architectural approach across the platform, proactively identifying opportunities for AI and agentic architecture in solution design. Design and document solution-level architectures for new and evolving systems, including conceptual, logical, and solution architecture views, service decomposition, API design, data flow, and integration patterns. Author Architecture Decision Records (ADRs) that capture context, options considered, trade-offs, and rationale for key technical decisions including decisions about AI service integration. Evaluate architectural trade-offs across patterns (e.g., event-driven, request/response, CQRS) and recommend the right approach for a given problem domain. Apply Hands-on experience with agentic frameworks and tooling across the LangChain ecosystem, cloud-native agent platforms (AWS Bedrock AgentCore, Azure AI Foundry / Azure AI Agent Service), or equivalent. Familiarity with architecting for AI-specific concerns such as latency tolerance, token cost management, output non-determinism, and graceful degradation when AI services are unavailable or underperforming. Provide architectural direction on technical patterns and must be comfortable with hands-on prototyping and technology proof of concepts using AI assisted coding tools (Cursor, Claude Code etc.) Present multiple architectural design options to engineering teams and stakeholders, clearly articulating the pros, cons, risks, and trade-offs of each approach. Provide hands-on architectural guidance to engineering teams, including reviewing designs, participating in technical discussions, and unblocking implementation challenges. Perform other duties as assigned Strategic Accountability: Develop clear materials (architecture overviews, decision summaries, roadmap updates) that enable leadership to make informed technology decisions. Present architecture reviews, technology assessments, and modernization progress to VP-level leadership, communicating technical depth in business-relevant terms. Translate AI capabilities and limitations into business-relevant terms for non-technical stakeholders, helping leadership make informed decisions about AI adoption and investment. Influence architectural direction across teams through well-reasoned recommendations, building consensus. Build relationships across teams and encourage buy-in for architectural standards and modernization initiatives.

What Will Our Ideal Candidate Have? Technical Expertise & Education: Bachelor's in technology related field or equivalent, with 8 years of architecture experience. Experience with cloud-native application design across AWS, Azure, or GCP (Preferred AWS). Understanding of solution architectural patterns including microservices, event-driven architecture, API design, data modeling, and distributed systems concepts. Familiarity with integrating AI/ML services into application architectures, including LLM-based capabilities, agentic patterns, or AI-assisted decision workflows. Understanding of the architectural implications of non-deterministic AI components, including testing strategies, output validation, fallback design, and cost management. Exposure to AI orchestration concepts such as prompt chaining, tool use patterns, retrieval-augmented generation (RAG), or workflow engines that coordinate AI and deterministic steps Strategic & Business Acumen: Extensive experience working an agile operational model. Experience supporting transformational change. Able to adjust plans, priorities and strategies in response to changing circumstances. Strong knowledge of the insurance industry, with Insurance technology experience preferred. Understanding of value creation and business capability models. Experience identifying and analyzing problems and opportunities, evaluating alternatives, and exercising sound judgment to make and commit to decisions. Proven ability to work collaboratively with teammates to achieve mutually responsible results. Strong and effective verbal, written and listening communication skills.

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.