Senior AI Engineer/ Agentic SDKs and Workflows

We are seeking a Senior AI Engineer specialized in Agentic SDKs and Workflows to join a strategic initiative building an Agentic intelligence platform for data insights and planning decisions related to charging site planning, utilization, and optimization. This role will focus on delivering a Proof of Value for Self-Service Charging Site Utilization Analytics, powered by a semantic ontology layer deployed on existing lakehouse infrastructure, enabling business users to self-serve HPC utilization queries with auditable, explainable results. Responsibilities Design and develop agentic AI solutions that structure multi-step reasoning workflows, tool integration, and autonomous task orchestration within a Chatbot interface Deploy and configure the semantic layer on the client's existing lakehouse to support end-to-end self-service analytics for utilization analysis use cases Build and maintain the ontology model defining core entities such as Site, Catchment, and RealizedUtilization to serve as a reusable data foundation for future use cases Develop governed SQL views that ensure auditable and explainable results, citing source tables and calculation logic for every generated answer Create a semantic layer blueprint and evaluation harness to validate query accuracy and support iterative improvement of the platform Collaborate with stakeholders to define the answer set for utilization-based business questions and ensure alignment with business outcomes Provide architecture recommendations and define the scope for subsequent evolution phases at project close Enable business users to independently answer utilization questions without reliance on data and analytics teams, targeting self-service adoption for the majority of weekly queries Integrate agentic workflows with existing data platforms to ensure scalability and reusability across additional use cases Requirements 3+ years of experience in AI engineering, with a focus on agentic systems, multi-step reasoning workflows, and autonomous task orchestration Expertise in Unity Catalog, Databricks Agent Bricks, and Genie Proficiency in designing and deploying semantic layers, ontology models, and governed SQL views on lakehouse architectures Background in building explainable and auditable AI-driven analytics solutions for enterprise use cases Skills in structuring chatbot-based agentic workflows that integrate tools and orchestrate autonomous tasks Understanding of data governance principles and their application in self-service analytics environments Familiarity with evaluation harness design to assess and improve AI-driven query accuracy Competency in translating business requirements into scalable data foundations reusable across multiple use cases Proficiency in English at a B2+ level