Design, build, evaluate, and productionize LLM agents and predictive models for automotive retail. Own tool schemas, RAG systems, prompt/version control, agent evaluation, escalation logic, and full model lifecycle (training, deployment, monitoring, retraining). Quantify model impact and ship production-grade systems integrated with dealership services and lakehouse data.

Lead and own a multi-account AWS platform and Terraform/OpenTofu codebase. Design network, security, and IaC standards; build and maintain lakehouse and ETL/ELT pipelines using Glue, Spark, Python, Step Functions, Lambda, and Databricks; manage Aurora databases; enforce data governance, CDC, data quality, and PCI-relevant segmentation while mentoring engineers and performing Well-Architected reviews.

Lead improvements to cloud and software delivery security across Azure and AKS. Secure CI/CD, containers, secrets, and infrastructure as code; manage vulnerabilities, least-privilege access, and audit readiness while partnering with engineering, IT, product, quality, and compliance teams.