Hands-on experience building and deploying generative AI or agentic AI solutions using LLMs, retrieval-augmented generation, embeddings, vector search, tool calling, prompt management, multi-step orchestration using LangGraph and MCPExperience designing production data/ML pipelines and services using technologies such as SQL, Spark, Airflow, Databricks, REST APIs, Git, Docker and CI/CD.Fluency in data strategy, including authoritative-source selection, data-product thinking, target-state architecture, reuse, interoperability and business-value alignment. Skills:Critical ThinkingData GovernanceNegotiationRisk ManagementStakeholder ManagementAttention to DetailChange ManagementIssue ManagementPresentation SkillsRegulatory RelationsBusiness AcumenContinuous ImprovementControls ManagementData ManagementPerformance ManagementShift:1st shift (United States of America)Hours Per Week: 40 Learn more about this role Apply × To proceed with your application, you must be at least 18 years of age.