Palantir Foundry Engineer
Do uzgodnienia
Wymagania
- Python
- PySpark
- SQL
- AIP
Opis stanowiska
We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
· Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
· AIP & AI Enablement:
o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
· End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
· User Engagement: Provide training and support for business teams adopting Foundry and AIP.
· Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
· Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
· Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
· AIP & AI Enablement:
o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
· End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
· User Engagement: Provide training and support for business teams adopting Foundry and AIP.
· Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
· Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.