Senior Solutions Architect (Ai)

Assurant • Atlanta, GA

1d • $122,400 - $204,400

About The Position

At Assurant, we're transforming how technology solutions are designed, developed, and delivered through Artificial Intelligence, automation, and cloud-native architectures. We're seeking a Senior Solution Architect (AI) who is passionate about leveraging AI to accelerate the process of Solution Architecture design to deliver AI-centered solutions that enable software delivery, modernize enterprise technology platforms, and create innovative solutions that drive business outcomes. This is a unique opportunity to influence enterprise-wide architecture strategy while designing AI-powered delivery pipelines, cloud solutions, and automation frameworks that enable teams to move faster and deliver greater value.

Requirements

• 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%.

Nice To Haves

• Experience and vision around automating the Solution Design process in Claude Code, Github Copilot, Codex or similar tools.
• AI architecture, automation, and intelligent software delivery solutions.
• Cloud platforms including Microsoft Azure and AWS.
• Modern DevOps practices and CI/CD toolchains.
• Infrastructure as Code technologies such as Terraform.
• Azure Foundry, Microsoft Fabric, Salesforce, and enterprise SaaS ecosystems.
• Security, authentication, authorization, and governance frameworks.
• AI implementation considerations including: Model selection and optimization, Token management, Agent-based architectures, MCP frameworks, AI governance and security
• Agile product delivery methodologies.
• Atlassian tools including Jira and Confluence.
• Enterprise integration and distributed systems design.

Responsibilities

• Serve as a technology leader and trusted advisor, partnering with business and technology teams to architect scalable, secure, and AI-enabled solutions.
• Design AI-Powered Solutions: 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 that accelerate development velocity. Develop and implement automated architecture validation, governance, and compliance capabilities using tools such as Claude Code, GitHub Copilot, GitHub CLI, and similar AI technologies. Design modern infrastructure platforms utilizing Infrastructure as Code (IaC), automation, and cloud technologies.
• Drive Technology Leadership: 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.
• Shape the Future of Enterprise Architecture: Act as a leader to create a new, 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.
• Mentor and Enable Teams: 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.

Benefits

• A place where you can thrive
• Opportunity to drive innovation
• Opportunity to influence architecture strategy
• Opportunity to leverage cutting-edge AI technologies
• Delivering meaningful impact at enterprise scale

What This Job Offers

• Job Type: Full-time
• Career Level: Senior