AI Engineering Leader

About the role

The insurance industry runs on Vertafore. We equip agencies, MGAs, and carriers with the core digital systems, specialized AI, and data-driven foundation to eliminate distribution drag across the insurance lifecycle, spanning sales, servicing, and back-office operations. Underpinned by unmatched speed and performance power, we are the trusted backbone that’s taking the insurance industry from friction to flow with Distribution Velocity - speed, performance, and trust - to drive growth at scale.

Required Qualifications

• 5+ years of experience in machine learning, AI engineering, or applied data science
• 1-3+ years of direct people management or formal tech lead experience with responsibility for team delivery
• Hands-on production experience with one or more of: LLM-powered applications, agentic workflows, document extraction pipelines, or classical ML systems
• Proficiency in Python and familiarity with the modern AI engineering stack — LangChain/LangGraph (or equivalent), vector databases, prompt engineering, and model evaluation tooling
• Experience deploying and operating AI systems in a cloud environment (AWS preferred)
• Strong written and verbal communication skills — able to write a crisp design doc, run a productive design review, and give clear status to non-technical stakeholders
• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related quantitative field

Preferred Qualifications

• Experience in B2B SaaS, insurance, financial services, or another regulated vertical
• Familiarity with MLOps tooling
• Exposure to intelligent document processing, for example parsing PDFs, structured tables, or semi-structured data at scale
• Experience with LLM observability and AI gateway tooling (e.g., LangSmith, Helicone, Portkey, LiteLLM)
• Background building systems with human-in-the-loop workflows and agentic task orchestration