AI Engineering Leader — Build Production AI at Scale

Vertafore, Inc.

Denver (CO)

Hybrid

USD 200,000 - 300,000

Full time

14 days+

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Job summary

Vertafore, Inc.'s AI organization is moving fast — from agentic workflows to production-grade AI features powering insurance workflows across North America. You will be the AI Engineering Leader, owning delivery for a core product domain and managing a small team while remaining hands-on with design decisions and code reviews.

Collaborate with a product manager to translate customer problems into a sequenced roadmap, set engineering standards, and ensure reliability and observability in

Qualifications

  • 5+ years in ML/AI engineering or applied data science.
  • 1–3+ years of people management with team delivery responsibility.
  • Hands-on production experience with LLMs, agentic workflows, document extraction, or classical ML systems.
  • Proficiency in Python and modern AI stack (LangChain, vector DBs, prompts, eval tooling).
  • Experience deploying AI systems in a cloud environment (AWS preferred).
  • Strong written and verbal communication; ability to present design docs to stakeholders.

Responsibilities

  • Lead a high-performing AI engineering team of 4–8 engineers.
  • Own end-to-end delivery of AI features and systems within your domain.
  • Partner with a product manager to translate customer problems into a roadmap.
  • Contribute to system design, code reviews, and debugging when it matters.
  • Set and uphold engineering standards for testing, observability, and deployment.
  • Build and operate production AI systems including LLM-powered features and ETL pipelines.
  • Collaborate with cross-functional teams to raise AI platform capability.

Skills

ML experience
People management
Production ML systems
Python & AI stack
Cloud deployment
Communication

Education

Bachelor's degree in CS/Engineering/Math

Tools

LangChain / LangGraph
Vector databases
Prompt engineering
AWS

Job description

Vertafore, Inc.'s AI organization is moving fast — from agentic workflows to production-grade AI features powering insurance workflows across North America. You will be the AI Engineering Leader, owning delivery for a core product domain and managing a small team while remaining hands-on with design decisions and code reviews.

Collaborate with a product manager to translate customer problems into a sequenced roadmap, set engineering standards, and ensure reliability and observability in

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