Senior AI-First Solutions Architect | Cloud-Native Platform

The Travelers Indemnity Company

Hartford (CT)

On-site

USD 139,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Health Insurance

Retirement plan matching 401(k)

Paid Time Off

Wellness Program

Volunteer Encouragement

Job summary

The Travelers Indemnity Company is seeking a Senior Solutions Architect to join our Enterprise Technology Solutions team. You will design, document and guide the technical direction of software systems supporting business transformation, including AI-native and cloud-native platforms.

You will work with engineering teams to shape architectures, write ADRs, evaluate trade-offs, and present options with clear pros and cons, while helping the organization advance modernization at scale.

Qualifications

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

Responsibilities

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.