Principal Software Engineer

Principal Engineer – AI/ML Who We Are Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life’s other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com. The Role You will join a specialized tiger team focused on accelerating development and re‑architecting platforms where needed. This work will center on simplification, modernizing technology, increasing automation, and utilizing advanced AI tools. As more of our products adopt AI capabilities, you will guide teams in selecting the right models and integrating them effectively. You will also play a key role in building and maintaining our AI infrastructure. Tiger-team will work alongside the existing development teams driving the development, before handing over the new development practices to them. What You’ll Do Build reliable systems that integrate large language mod [... source excerpt omitted ...] ma Mapping, Anomaly Detection, and Data Labeling. Develop sophisticated probabilistic and deterministic matching algorithms for Identity Resolution to create a unified 360-degree customer profile. Build LLM-powered interfaces (RAG) that allow non-technical stakeholders to query the CDP using natural language. Define the standards for data privacy (GDPR/CCPA), data lineage, and "The Right to be Forgotten" within the platform’s core logic to manage Data Governance. Act as the "Engineer’s Engineer," conducting deep-dive architectural reviews and setting the standard for code quality and CI/CD maturity. Upskilling the development teams, you work with and contributing to the defi [... source excerpt omitted ...] , and scaling of high-quality products (product lifecycle management). Data unification Experience with using LLMs using embeddings, RAG, VectorDB and prompt engineering building production grade applications. MLOps: Proficiency in managing the model lifecycle using MLflow, Kubeflow, or SageMaker. Vector Infrastructure: Experience implementing Vector Databases (Pinecone, Weaviate, or Milvus) for similarity searches and behavioral embeddings. Predictive Modeling: Understanding of feature engineering for churn prediction, LTV (Lifetime Value) forecasting, and propensity scoring. Experience with privacy-preserving computation (Differential Privacy). Strong proficiency in C#, ASP