Solution Architect

Job Title: Solution Architect
Location: Remote

Duration: FullTime

What You’ll Do
 

• Own solution architecture for AI-enabled workflows across customer-facing and internal operational processes.
• Execute day-to-day responsibilities related to AI solution design, integration planning, vendor implementation, testing, and launch readiness with accuracy, timeliness, and consistency.
• Analyze, review, and maintain technical requirements, workflow documentation, integration designs, data needs, and implementation plans to support business needs.
• Partner with Data Engineering, Software Engineering, Data Science, Business Analytics, Claims, Underwriting, Ops, Finance, vendors, and stakeholders to support AI initiatives and ensure alignment.
• Communicate updates, risks, blockers, technical tradeoffs, and recommendations clearly and proactively.
• Identify opportunities to improve process efficiency, system reliability, automation quality, customer experience, compliance, and operational outcomes.
• Use data, technical judgment, and business context to inform architecture decisions and recommendations.
• Manage assigned work independently and follow through on commitments, deadlines, and deliverables.
• Ensure AI solutions are designed and implemented in accordance with applicable policies, procedures, standards, data governance expectations, and regulatory requirements.
• Perform other role-related responsibilities as assigned and aligned with business needs.

What You Bring
 

• 6+ years of experience in solutions architecture, data engineering, software engineering, platform engineering, technical product, or a similar technical role.
• Experience with production systems, APIs, internal tools, workflow automation, data products, vendor integrations, or AI-enabled applications.
• Strong understanding of system architecture, data quality, security, permissions, monitoring, auditability, and operational risk.
• Demonstrated ability to manage technical solution design, partner with cross-functional stakeholders, and deliver high-quality work in a dynamic business environment.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.

Preferred Qualifications
 

• Experience working in a fast-paced, high-growth, technical, operational, or regulated environment.
• Experience using systems and tools such as Zendesk, HubSpot, Decagon, Sierra, Ada, Claude, OpenAI, Snowflake, dbt, Power BI, GitHub, or similar platforms.
• Additional education, certification, or training in AI, data engineering, software engineering, cloud architecture, security, or product technology.
• Prior experience in fintech, insurance, proptech, real estate operations, claims, underwriting, customer support automation, or workflow transformation.

 

Keywords: AI, AWS, Azure, Google Cloud Platform , P&C, Cloud, API