Data Engineer - Palantir Foundry

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• Design and implement agentic systems ( decision agents, automation agents)
• Develop RAG pipelines leveraging Snowflake data and enterprise knowledge sources
• Create LLM workflows using AIP Logic / Agent Studio for enterprise use cases
• Integrate AI agents with enterprise systems for end-to-end decision automation
• Ensure governance, security, auditability, and responsible AI practices
• Collaborate with stakeholders to deliver production-grade AI solutions, Description: A Level 5 Switchgear Field Engineer leads complex field service activities for medium- and high-voltage switchgear systems, serving as a technical authority on insta…

• 2 days ago

• Experience with Palantir Foundry & AIP (Ontology, Pipeline Builder, AIP Logic)
• Proficiency in Python, SQL
• Hands-on experience building LLM applications, RAG pipelines, and agentic AI systems
• Understanding of vector search, embeddings, and semantic retrieval architectures
• Experience integrating AI into enterprise workflows and operational systems
• Strong foundation in ML lifecycle, evaluation, and production deployment
• Ability to translate business requirements into scalable AI solutions

Mandatory Skills: Palantir . Experience: 8-10 Years .

The expected compensation for this role ranges from $80,000 to $158,000 .

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com., Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. 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