AI Engineering Leader

$200,000 - $300,000 Total Compensation

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.

With over 95% of the top agencies and insurers and 50% of industry compliance transactions running through Vertafore, we lead at the intersection of innovation and trust, giving insurance professionals the confidence to transform and win in the AI era.

Our reach is global, with headquarters in Denver, Colorado, and offices across the U.S., Canada, and India.

Vertafore's AI organization is moving fast — from agentic workflows to intelligent document processing and predictive analytics. These systems are in production, serving thousands of agencies and carriers across North America, and the bar for reliability, scalability, and craft is high.

We're looking for an AI Engineering Leader who leads from the front. You'll own delivery for one of our core AI product domains, managing a small team of engineers while staying close enough to the work that you're the person your team turns to when the architecture gets hard. You’ll be a hands on leader with expertise in designing, evaluating, and shipping AI based features.

This is not a role for someone who has stepped fully away from the code. You are an active participant in the team, reviewing PR’s, making technical decisions, and writing code. Your value multiplier is the team you build and enable, but your credibility comes from the depth you bring.

• Manage, mentor, and grow a team of 4–8 engineers. Running 1:1s, setting technical direction, and creating clear paths for individual development
• Foster a culture of rigor, fast iteration, and creative problem solving. Build a team where engineers are empowered to raise problems early and move from experiment to production without unnecessary friction
• Partner with recruiting to hire strong AI engineering talent and retain it through meaningful work and clear growth

• Drive the end-to-end delivery of AI features and systems within your team's scope, from design to deployment to post-production observability
• Be the accountable technical voice for your domain: scope estimates, architectural decisions, tradeoff documentation, and post-mortems all run through you
• Work closely with a product manager to translate customer problems and business priorities into a well-sequenced engineering roadmap

• Contribute meaningfully to system design, code reviews, and debugging when it matters with a focus on greenfield work, critical path systems, or when the team is blocked
• Set and uphold engineering standards for your team: testing strategy, evaluation frameworks, model observability, and responsible deployment practices
• Know when to write the code yourself and when your highest-leverage move is unblocking someone else

• Oversee the design and operation of LLM-powered features, ETL pipelines, agentic workflows, and/or document extraction systems
• Maintain a high bar for production quality: latency, cost, reliability, and behavioral consistency across a diverse multi-tenant customer base
• Build feedback loops and monitoring that detect model drift, degraded outputs, and edge case failures before customers do