Descripción de la oferta
Overview
In this role you design, build, and operationalize AI-powered workflows within Palantir Foundry and AIP to deliver measurable business outcomes. You collaborate with stakeholders to translate complex needs into scalable solutions and ensure governance and responsible AI use. You will work on end-to-end delivery, training business teams, and driving ongoing adoption and automation. The role offers the opportunity to shape advanced data workflows and AI-enabled applications at scale.
ResponsabilidadesDesign, develop, and maintain scalable pipelines and applications in Palantir FoundrySupport design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agentsGround agents and logic flows using RAG with data sources, embeddings, vector search, and ontology contentApply Ontology-Augmented Generation (OAG) for operational decision-making where appropriateCollaborate with senior engineers on agent design, instructions, and evaluation using AIP featuresCapture requirements, design solutions, and deliver working applications with stakeholdersProvide training and support for business teams adopting Foundry and AIPEnsure governance, data quality, and responsible use of AIIdentify opportunities to expand AIP adoption and improve workflow automation
Requisitos principales10+ years of IT/Data experience5+ years as a Data Platform Engineer/Data Engineer2+ years with Palantir Foundry ecosystem (data integration, ontology, pipelines, applications)1+ year hands-on experience with Palantir AIP (design/deployment of use cases, grounding with RAG, ontology content)Strong Python, PySpark, SQL, and data modelling skillsPractical experience with AIP features such as RAG, copilots, or agent-based appsAbility to work independently and engage with non-technical business usersStrong problem-solving mindset and ownership of deliverySelf-starterStakeholder engagementIndependent working stylePythonPySparkSQL
