Senior Solutions Architect

Travelers

Senior Solutions Architect shaping AI-native, cloud-native platforms for Travelers, a property-casualty insurer. Guiding architecture, modernization, prototypes, and executive technology decisions.

Posted 8/19/2026full-timeHartford • Connecticut, Maryland, Minnesota • 🇺🇸 United StatesSenior💰 $139,400 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecture design and modernization, with a strong focus on AI-first approaches and cloud-native application development. Proficient in translating business strategies into actionable architecture roadmaps while effectively communicating with technical and non-technical stakeholders.

Highest-signal resume keywords

Architecture ExperienceCloud-Native Application DesignAI/ML IntegrationMicroservices ArchitectureInsurance Technology Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Architecture DesignAPI DesignData ModelingEvent-Driven ArchitectureDistributed SystemsAI-Assisted Decision WorkflowsPrompt ChainingTesting StrategiesCost ManagementAgile Methodologies

Soft Skills

Problem-SolvingJudgmentCommunication SkillsCollaboration

Tools & Technologies

AWSAzureGCPLangChainAWS Bedrock AgentCoreAzure AI FoundryAzure AI Agent ServiceCursorClaude Code

Industry Keywords

Insurance IndustryValue CreationBusiness Capability Models

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Define architecture within one or more segments or domains for a platform modernization effort
Translate technology strategy and business direction into architecture roadmaps
Identify architectural opportunities and risks and present recommendations to engineering leadership
Drive an AI-first architectural approach, including AI and agentic architecture opportunities
Design and document conceptual, logical, and solution architectures, service decomposition, APIs, data flows, and integration patterns
Author Architecture Decision Records documenting context, options, trade-offs, and rationale
Evaluate architectural patterns such as event-driven, request/response, and CQRS
Prototype and develop technology proofs of concept using AI-assisted coding tools such as Cursor and Claude Code
Present architectural options, pros, cons, risks, and trade-offs to engineering teams and stakeholders
Provide hands-on guidance, review designs, participate in technical discussions, and unblock implementation challenges
Prepare architecture overviews, decision summaries, and roadmap updates for leadership
Present architecture reviews, technology assessments, and modernization progress to VP-level leadership
Explain AI capabilities and limitations to non-technical stakeholders
Influence architectural direction, build consensus, and encourage buy-in for standards and modernization initiatives
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in computer science, a related STEM field, or equivalent in education and/or work experience
8 years of architecture experience
6 additional years of architecture/software engineering experience
Experience with cloud-native application design across AWS, Azure, or GCP; AWS preferred
Understanding of microservices, event-driven architecture, API design, data modeling, and distributed systems concepts
Familiarity with integrating AI/ML services, including LLM-based capabilities, agentic patterns, or AI-assisted decision workflows
Understanding of non-deterministic AI components, testing strategies, output validation, fallback design, and cost management
Exposure to prompt chaining, tool use patterns, retrieval-augmented generation (RAG), or workflow engines
Hands-on experience with agentic frameworks and tooling, including LangChain, AWS Bedrock AgentCore, Azure AI Foundry, Azure AI Agent Service, or equivalent
Familiarity with AI-specific concerns such as latency tolerance, token cost management, output non-determinism, and graceful degradation
Experience working in an agile operational model
Experience supporting transformational change
Strong knowledge of the insurance industry; insurance technology experience preferred
Understanding of value creation and business capability models
Strong problem-solving, judgment, verbal, written, and listening communication skills
Ability to work collaboratively with teammates

Benefits

Comp & perks

Health insurance from the first day of employment for employees and eligible family members
Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, subject to an annual maximum
Paying it Forward Savings Program for employees with student loan debt
Pension Plan 100% funded by Travelers
Minimum of 20 days Paid Time Off annually
Nine paid company Holidays
Wellness program with tools, discounts, resources, mental health counseling, health coaching, and caregiving support
Matching Gift and Volunteer Rewards program
Volunteer encouragement and community involvement opportunities