Senior Forward-Deployed AI Engineer (Snowflake) - CONTRACT TO HIRE

<div class="content-intro"><p class="p1"><span style="font-size: 12pt;"><strong>About Us</strong></span></p> <p class="p1"><span style="font-size: 12pt;">Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence.</span></p> <p class="p1"><span style="font-size: 12pt;">We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions—so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it’s why we are leading the way.</span></p> <p class="p1"><span style="font-size: 12pt;">Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.</span></p> <p class="p1"><span style="font-size: 12pt;">Ready to make an impact? Join us and let’s build the future together.</span></p></div><p><strong>About the Role</strong></p> <p><strong>This is a contract to hire position.</strong></p> <p>The<strong> </strong>Senior Forward-Deployed AI Engineer is a senior individual contributor responsible for designing and building the AI and GenAI/agentic systems that power our platform on Snowflake, and for carrying that work directly into client environments. Hands-on Snowflake expertise is essential to this role. Databricks experience is a plus but not required.</p> <p>This is a forward-deployed role: the person in this seat spends a meaningful share of their time working inside client environments, not just building systems that clients eventually use. Candidates must bring prior, evidenced experience doing this kind of work already.</p> <p>The role's focus will shift over time. Initially, the work is centered on configuring the Snowflake semantic layer and delivering metrics and reporting off of it for clients. As that foundation matures, the role expands into agentic AI work, which depends directly on the semantic layer already being correctly modeled and configured.</p> <p>On client engagements, this person is the senior-most AI technical voice, trusted to work through ambiguous problems and help shape the technical vision and roadmap for AI components. This is technical leadership, not engagement ownership or people management; someone else owns the engagement and its reporting, and this role does not have direct reports.</p> <p>This role blends:</p> <ul> <li>AI/ML architecture and model strategy on Snowflake</li> <li>GenAI and agentic systems design</li> <li>Direct, hands-on client engagement and implementation</li> </ul> <p>Unlike a purely internal engineering role, this position regularly puts you in front of clients: scoping their needs, implementing solutions in their environment, and troubleshooting alongside them. Candidates should bring demonstrated experience doing this kind of work already, not only an interest in doing it.</p> <p><strong>Your day to day</strong></p> <p><strong>Semantic Layer & M