Designs, builds, deploys, and operates production AI/ML and LLM systems. Responsibilities include developing RAG pipelines, fine-tuning and evaluating models, managing end-to-end MLOps lifecycles, establishing monitoring and governance practices, mentoring engineers, and leading complex cross-functional client and internal initiatives.

Drive new business by prospecting, qualifying, and booking discovery calls via high-volume outbound outreach and event-driven campaigns. Use Apollo, LeadLander, Salesforce, and multi-touch sequences to prioritize intent signals and maintain pipeline hygiene. Collaborate with sales, marketing, and partnerships to convert qualified leads into opportunities and report campaign performance.

Design, build, and maintain scalable Databricks-based data pipelines and ELT workflows; develop and document dbt models; define data modeling methodology; ensure data quality, reliability, and scalability; collaborate with clients and cross-functional teams; provide technical guidance and deliver improvements to clients' data infrastructure and analytics capabilities.