Senior Solutions Architect, AI

Assurant

. Translate complex business requirements into scalable technology architectures .

Posted 10/6/2026full-timeRemote • United StatesSenior💰 $122,400 - $204,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing AI-driven software delivery pipelines and cloud-native solutions, with a strong focus on automation frameworks and architecture standards. Proven ability to lead technical design efforts and influence enterprise architecture strategy while promoting AI adoption and best practices across teams.

Highest-signal resume keywords

Cloud ComputingAI-Assisted Development ToolsCI/CD Automation PipelinesInfrastructure as CodeEnterprise Architecture Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAutomation FrameworksCloud TechnologiesArchitecture StandardsAI-Driven SolutionsTechnical Problem-SolvingArchitecture ValidationGovernance CapabilitiesApplication DevelopmentDatabase Design

Soft Skills

CollaborationCoachingKnowledge SharingInnovation PromotionTechnical Guidance

Tools & Technologies

Claude CodeGitHub CopilotTerraformMicrosoft AzureAWSAtlassian ToolsJiraConfluenceAzure FoundrySalesforce

Certifications & Qualifications

Bachelor's Degree in Computer ScienceInformation Technology

Industry Keywords

DevOps PracticesAgile MethodologiesEnterprise IntegrationDistributed Systems DesignSecurity Frameworks

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsSDLCTerraform

About the role

Key responsibilities & impact

Translate complex business requirements into scalable technology architectures
Design AI-driven software delivery pipelines, automation frameworks, and cloud-native solutions
Create architecture standards, reusable patterns, and AI-enabled tooling to accelerate development velocity
Develop and implement automated architecture validation, governance, and compliance capabilities using Claude Code, GitHub Copilot, GitHub CLI, and similar AI technologies
Design modern infrastructure platforms using Infrastructure as Code, automation, and cloud technologies
Lead technical design efforts from concept through implementation
Champion AI adoption across architecture and engineering teams
Guide teams in applying architecture standards, automation practices, and cloud best practices
Support troubleshooting and technical problem-solving throughout the SDLC
Collaborate with vendors, product teams, developers, and enterprise architects to ensure successful solution delivery
Create a highly automated AI-driven end-to-end Solution Architecture workflow
Research emerging AI, cloud, and automation technologies
Develop proof-of-concepts and evaluate new tools and platforms
Influence enterprise architecture strategy and long-term technology direction
Create best practices, reference architectures, and reusable AI-driven delivery frameworks
Coach architects and engineering teams on AI technologies and modern architecture practices
Conduct architecture reviews and provide technical guidance
Promote innovation through knowledge sharing and continuous learning

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
7+ years of experience across multiple technology disciplines such as cloud computing, application development, databases, middleware, networking, security, and enterprise platforms
3+ years of experience designing and implementing automated software solutions utilizing cloud or hybrid cloud technologies
2+ years of hands-on experience with AI-assisted development tools such as Claude Code, GitHub Copilot, Codex, or similar technologies
2+ years of experience designing and implementing CI/CD and DevOps automation pipelines
Experience designing enterprise-scale cloud and application architectures
Willingness to travel up to 15%
Preferred: experience and vision around automating the Solution Design process using Claude Code, GitHub Copilot, Codex, or similar tools
Preferred: AI architecture, automation, and intelligent software delivery solutions
Preferred: cloud platforms including Microsoft Azure and AWS
Preferred: modern DevOps practices and CI/CD toolchains
Preferred: Infrastructure as Code technologies such as Terraform
Preferred: Azure Foundry, Microsoft Fabric, Salesforce, and enterprise SaaS ecosystems
Preferred: security, authentication, authorization, and governance frameworks
Preferred: AI implementation considerations including model selection and optimization, token management, agent-based architectures, MCP frameworks, and AI governance and security
Preferred: Agile product delivery methodologies
Preferred: Atlassian tools including Jira and Confluence
Preferred: enterprise integration and distributed systems design
Employment contingent upon completion of a required identity verification process, which may include biometric technology where permitted by law

Benefits

Comp & perks

Opportunity to drive innovation and influence architecture strategy at enterprise scale
Opportunity to leverage cutting-edge AI technologies
Opportunity to work alongside talented professionals
Opportunity to thrive in Assurant’s culture
Travel up to 15% (job-related allowance/condition)