AI Engineer

AI Engineer

Downtown Austin, TX (4 days in the office) 

No Relocation  

Why Choose Acrisure?

Acrisure Innovation is where human expertise meets advanced technology.

Acrisure Innovation is a fast-paced, AI-driven team building innovative software to disrupt the $6T+ insurance industry.  Our mission is to help the world share its risk more intelligently to power a more vibrant economy. To do this, we are transforming insurance distribution and underwriting into a science. 

At the core of our operating model is our technology: we’re building a digital marketplace for risk and applying it at the center of Acrisure, a privately held company recognized as one of the world's top 10 insurance brokerages and the fastest-growing insurance brokerage globally. By leveraging technology to push the boundaries of understanding and transferring risk, we are systematically converting data into predictions, insights, and choices, and we believe we can remove the constraints associated with scale, scope, and learning that have existed in the insurance industry for centuries.

Our culture is strong. We are a collaborative company of entrepreneurial, innovative, and talented people who believe in our future. We outthink and outwork the competition. We look outside our walls and are energized by our fast-paced trajectory.

Our vision for the future is clear. We have limitless potential to achieve unprecedented success in the insurance industry. To achieve our opportunity, a best-in-class Team must support us.

The Role:

As a AI Engineer at Acrisure Innovation, you'll help design and deploy ML systems that power real-world solutions. Working alongside engineers, designers, and product teams, you'll build models, pipelines, and infrastructure that bring ideas to life, with impact at scale.

Our stack includes Python, Kubernetes, and Google Cloud. We use tools like LangChain and work across NLP, LLMs, and applied ML.

In this role, you will:

• Build and deploy ML models from prototype to production
• Own the full lifecycle of ML projects.
• Collaborate cross-functionally to develop a scalable system.
• Improve model accuracy, performance, and reliability.
• Apply best practices in testing, MLOps, and observability.
  
  

You may be a great fit if you:

• Have strong Python skills (required), a second coding language a plus 
• Experience with ML algorithms and model development
• Hold a BS in CS or a related field to AI Engineering
•  4+ years of industry experience.
• Familiar with LangChain, LLMs, Kubernetes, or GCP (nice to have)