Palantir Artificial Intelligence Platform (AIP) Engineer

Palantir Artificial Intelligence Platform (AIP) Engineer

Location:

India, remote (Travel to Hyderabad vs Bangalore) Contract Type:

Freelance / Contractor Duration:

6 months initial contract, extension possible Start Date:

February 2026

We are hiring

Palantir Artificial Intelligence Platform (AIP) Engineers across all levels (Engineer, Senior Engineer, Lead, Architect) , to support enterprise AI transformation programs for a fast growing IT services company based in India.

You will design, build, and deploy AI powered workflows using

Palantir Artificial Intelligence Platform (AIP)

together with

Palantir Foundry , enabling real time decision intelligence for global enterprise clients across financial services, manufacturing, energy, and public sector domains. This is a high impact contract opportunity for professionals experienced in operationalizing Large Language Models (LLMs) and building production grade AI systems within Palantir environments.

Key Responsibilities Design and implement AI driven applications using Palantir Artificial Intelligence Platform (AIP) Build and optimize ontology based data models within Palantir Foundry Integrate Large Language Models (LLMs) into enterprise workflows using AIP agents and pipelines Develop production ready data pipelines and AI workflows Collaborate with data engineers, platform teams, and client stakeholders Translate business problems into scalable AI solutions Ensure security, governance, and compliance within AI deployments Contribute to architecture decisions for large scale AI platforms

Required Skills and Experience

Core Requirements Hands on experience with Palantir Foundry and Palantir Artificial Intelligence Platform (AIP) Strong understanding of data modeling and ontology design Experience integrating LLMs such as OpenAI, Anthropic, or open source models Strong Python programming skills Experience building production grade data pipelines Understanding of AI governance and responsible AI principles

For Senior and Lead Levels Experience designing enterprise scale AI solutions Client facing experience and stakeholder engagement Architecture ownership across multiple workstreams Mentoring and guiding junior engineers

Nice to Have Experience with ML frameworks such as PyTorch or TensorFlow Knowledge of vector databases and retrieval augmented generation (RAG) Experience with cloud platforms such as AWS, Azure, or GCP DevOps exposure including CI CD for AI systems

Seniority Levels We are open to candidates across levels: Engineer:

2 to 4 years relevant experience Senior Engineer:

5 to 8 years experience with end to end delivery ownership Lead / Architect:

8 plus years with solution design and architecture leadership