Acrisure's Enterprise Technology Group (ETG) 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. We are looking for a seasoned AI Engineer with 5–10+ years of experience to join Acrisure's Enterprise Technology Group (ETG). In this senior-level role, you will operate with a high degree of autonomy, taking end-to-end ownership of complex AI initiatives. You will engage directly with business stakeholders to translate requirements into well-defined work packages, drive execution, and ensure timely, high-quality delivery. Working alongside engineers, designers, and product teams, you'll build models, pipelines, and infrastructure that bring ideas to life at scale. Our stack includes Python, Kubernetes, and Google Cloud. We use tools like LangChain and work across NLP, LLMs, and applied ML. Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.
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Job Type
Full-time
Career Level
Senior