Job Description & How to Apply Below
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 work streams
Mentoring and guiding junior engineers
Nice to Have
Experience with ML frameworks such as PyTorch or Tensor Flow
Knowledge of vector databases and retrieval augmented generation (RAG)
Experience with cloud platforms such as AWS, Azure, or GCP
Dev Ops 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
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