Senior Solutions Architect

Jobtailor; Connecticut; On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced Enterprise Architect to lead AI-first, cloud-native modernization across insurance tech platforms. You will translate business strategy into concrete roadmaps, drive architectural governance, and partner with VP-level stakeholders to align roadmaps with strategic goals.

Responsibilities include defining domain architectures, creating RAG-enabled workflows, and guiding teams through complex API and data-model decisions.

Qualifications

• Bachelor’s degree in CS or related STEM field or equivalent.
• 8 years architecture experience with progressive responsibility.
• 6 additional years in architecture/software engineering.
• Experience designing cloud-native apps on AWS/Azure/GCP; AWS preferred.
• Knowledge of microservices, event-driven architecture, API design, data modeling.
• Familiarity with AI/ML services, LLM-based capabilities, agentic patterns.
• Understanding non-deterministic AI components, testing, fallback design, cost.
• Experience with prompt chaining, tool patterns, RAG, or workflows.
• Hands-on with agentic frameworks/tools: LangChain, AWS Bedrock AgentCore, Azure Foundry/Agent.
• Familiarity with latency, token cost, non-determinism, graceful degradation.
• Experience in agile environments and transformational change.
• Strong insurance industry knowledge preferred.
• Understanding of value creation and business capability models.
• Strong problem-solving, judgment, and communication skills.
• Ability to collaborate with teammates.

Responsibilities

• Define architecture within domains for platform modernization.
• Translate strategy into architecture roadmaps.
• Identify opportunities/risks; present to engineering leadership.
• Drive AI-first architectural approach and AI-enabled workflows.
• Design conceptual/logical/solution architectures, APIs, data flows.
• Author Architecture Decision Records with rationale.
• Evaluate patterns: event-driven, CQRS, request/response.
• Prototype PoCs using AI-assisted coding tools.
• Present options, pros/cons, risks to teams and stakeholders.
• Provide hands-on guidance and unblock implementation challenges.
• Prepare architecture overviews and roadmap updates for leadership.
• Present reviews and modernization progress to VP-level.
• Explain AI capabilities/limitations to non-technical stakeholders.
• Influence direction and build consensus for standards.
• Perform other duties as assigned.

Skills

Architecture Experience

Cloud-Native Design

AI/ML Integration

Microservices Architecture

Insurance Tech Knowledge

Agile Methodologies

Communication Skills

Problem-Solving

Education

Bachelor's degree in Computer Science or related STEM field

Tools

LangChain

AWS Bedrock AgentCore

Azure AI Foundry

Azure AI Agent Service

Cursor

Claude Code

AWS

Azure

GCP

Job description

Responsibilities

• 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

• 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

Core Competencies

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 Experience
• Cloud-Native Application Design
• AI/ML Integration
• Microservices Architecture
• Insurance Technology Knowledge

ATS Optimization Keywords

Hard Skills

• Architecture Design
• API Design
• Data Modeling
• Event-Driven Architecture
• Distributed Systems
• AI-Assisted Decision Workflows
• Prompt Chaining
• Testing Strategies
• Cost Management
• Agile Methodologies

Soft Skills

• Problem-Solving
• Judgment
• Communication Skills
• Collaboration

Industry Keywords

• Insurance Industry
• Value Creation
• Business Capability Models

Tools & Technologies

• AWS
• Azure
• GCP
• LangChain
• AWS Bedrock AgentCore
• Azure AI Foundry
• Azure AI Agent Service
• Cursor
• Claude Code