AI Engineer

· Design, build, and deploy AI/ML solutions that integrate with enterprise data products, pipelines, and lakehouse architectures.

· Develop and operationalize machine learning models and AI services for use cases such as predictive analytics, anomaly detection, and automation.

· Design and implement Generative AI solutions using LLMs, including RAG architecture and prompt engineering.

· Collaborate with data engineers to embed AI capabilities into data pipelines and ensure seamless integration with data platforms (e.g., Fabric, Databricks).

· Partner with product owners, architects, and stakeholders to translate business needs into AI-driven solutions and reusable components.

· Enable AI readiness across DL&I data products by standardizing model integration, feature engineering, and inference patterns.