Working across engineering, governance, security, and business teams, the AI Engineer enables the adoption of AI at scale through model monitoring, performance evaluation, human-in-the-loop workflows, cost optimization, and responsible AI practices that ensure solutions are trusted, governed, and production-ready. This role builds reusable AI/ML solutions, model deployment frameworks, prompt orchestration patterns, agentic workflows, and MLOps pipelines leveraging Databricks ML, Azure Machine Learning, MLflow, Python, and cloud-scale data platforms.