Palantir AI engineer

Overview:

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally.

As an AI Engineer (Palantir Foundry & AIP)you will be the architect of our intelligence layer. You won't just be building models in isolation; you will be leveraging Palantir Foundry and AIP to create integrated, "human-in-the-loop" AI applications. Your goal is to transform static data assets into dynamic, agentic workflows that solve complex operational challenges.

Responsibilities:

Key Responsibilities

AIP Logic & Tooling: Design and implement AIP Logic functions and integrate LLMs (Large Language Models) into Foundry workflows.

Ontology Architecture: Map complex business processes into the Foundry Ontology, ensuring AI models have a structured, semantic understanding of the organization.

Pipeline Development: Build robust data pipelines using PySpark and Foundry Data Connection to feed high-quality data into AI features.

Prompt Engineering & Orchestration: Develop and refine prompts and use AIP Assist or Automate to create autonomous agents and decision-support tools.

Application Building: Use Workshop and Slate to build intuitive front-end interfaces where end-users can interact with AI insights.

Governance & Ethics: Implement rigorous testing, versioning, and "checks and balances" within the AIP framework to ensure AI outputs are safe, reliable, and explainable.

Requirements:

I Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, or a related technical discipline

| Palantir Core | Proficiency in Foundry Ontology, Workshop, Contour, and Pipeline Builder. |

| AI/ML Skills | Deep understanding of AIP Logic, LLM orchestration (RAG), and prompt engineering. |

| Languages | Expert-level Python and PySpark. Familiarity with TypeScript/SQL is a plus. |

| Data Engineering | Experience with data modeling, ETL/ELT, and managing large-scale datasets. |

| DevOps/Mojo | Knowledge of Foundry’s modeling objective (Mojo) and CI/CD for ML models. |

Preferred Experience

Experience building Agentic Workflows (AI that can take actions, not just answer questions).

A background in a highly regulated industry (Finance, Healthcare, Defense) where data privacy and security are paramount.

Palantir certifications (e.g., Foundry Data Engineer or Foundry Public Sector).

The Ideal Candidate

You are a "full-stack" data thinker. You don't wait for a clean dataset; you go into the Foundry filesystem, find what you need, model it into the Ontology, and wrap an AIP-driven solution around it. You value security-first AI and understand that an LLM is only as good as the data it can access.