AI Solutions Architect

About the role

The AI Solutions Architect is responsible for designing, implementing, and scaling AI-enabled solutions across TheGuarantors’ customer-facing and internal operations. This role supports the AI function by translating high-impact business opportunities into secure, reliable, measurable, and production-ready systems.

Responsibilities

• 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.

Requirements

• 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.
• 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.

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.

Skills

• Strong technical architecture, integration, automation, and AI implementation experience.
• Strong understanding of system architecture, data quality, security, permissions, monitoring, auditability, and operational risk.
• Ability to manage technical solution design, partner with cross-functional stakeholders, and deliver high-quality work in a dynamic business environment.
• 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.

Benefits

• Medical, dental, & vision insurance, beginning day one.
• Health savings account with employer contribution.
• Flexible spending accounts (healthcare, dependent care, commuter).
• 401(k).
• Generous PTO and paid holidays.
• In-office lunch Perk.
• Flexible working hours.
• Paid parental leave.
• Company sponsored short and long term disability.

Pay

Base Salary: $200,000 - $230,000 annually.

Schedule

This is a hybrid role based in NYC.