Senior AI Engineer

About this role

<p><strong>Senior AI Engineer</strong></p> <p><strong>Austin, TX (Onsite 4 days per week)</strong>  </p> <p><strong><em>Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position.</em></strong></p> <p> </p> <p><strong>Why Choose Acrisure?</strong></p> <p>Acrisure's Enterprise Technology Group (ETG) is where human expertise meets advanced technology.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong>The Role:</strong></p> <p>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.</p> <p>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.</p> <p><strong>In this role, you will:</strong></p> <ul> <li>Build and deploy ML models from prototype to production</li> <li>Own the full lifecycle of ML projects</li> <li>Engage directly with business stakeholders to gather and refine project requirements</li> <li>Translate requirements into structured work packages with clear milestones and deliverables</li> <li>Monitor and follow up to ensure timely and high-quality project delivery</li> <li>Collaborate cross-functionally to develop scalable systems</li> <li>Improve model accuracy, performance, and reliability</li> <li>Apply best practices in testing, MLOps, and observability</li> </ul> <p> </p> <p><strong>You may be a great fit if you:</strong></p> <ul> <li>Have 5–10+ years of hands-on experience in AI/ML engineering (required)</li> <li>Demonstrate the ability to work independently and lead projects without day-to-day supervision</li> <li>Are confident engaging with non-technical business stakeholders, understanding their needs, and converting them into technical plans</li> <li>Have strong Python skills (required); a second coding language is a plus</li> <li>Have deep experience with ML algorithms and model development</li> <li>Hold a BS in CS or a related field in AI Engineering</li> <li>Have proven experience deploying LLM-based applications using API calls to frontier models (e.g. OpenAI, Anthropic, Google Gemini) <strong>(required)</strong></li> <li>Are familiar with the Palantir platform (AIP, Foundry, or Ontology) <strong>(desirable)</strong></li> <li>Are familiar with LangChain, LLMs, Kubernetes, or GCP <strong>(nice to have)</strong></li> </ul> <p><strong>Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.</strong>    </p> <p> </p> <p><strong>Benefits and Perks:</strong>   </p> <ul> <li>Competitive compensation   </li> </ul> <ul> <li>Generous vacation policy, paid holidays, and paid sick time    </li> </ul> <ul> <li>Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid)   </li> </ul> <ul> <li>Company-paid Short-Term and Long-Term Disability Insurance   </li> </ul> <ul> <li>Company-paid Group Life insurance   </li> </ul> <ul> <li>Company-paid Employee Assistance Program (EAP) and Calm App subscription   </li> </ul> <ul> <li>Employee-paid Pet Insurance and optional supplemental insurance…