Palantir Data Solution Architect

Job description

We are looking for a seasoned Palantir Data Solution Architect to lead the design and implementation of enterprise-scale data and AI platforms for Insurance/Reinsurance clients. This role will drive Foundry adoption, AIP-powered GenAI solutions, and intelligent chatbot ecosystems to enable automation, decision intelligence, and regulatory-compliant data platforms. Responsibilities • Design and deploy data pipelines, Ontology models and data workflows in Foundry • Enable end-to-end data lifecycle management from ingestion through transformation to consumption • Implement data lineage, governance and auditability aligned with BFSI compliance • Architect AI applications using Palantir AIP, including agents for underwriting, claims and risk analysis as well as intelligent decision-support systems • Build RAG-based solutions integrating structured and unstructured BFSI data • Integrate external LLMs such as Azure OpenAI and GPT securely within enterprise systems • Design domain-aware chatbots, assistants and orchestration interfaces for claims processing, policy servicing and regulatory insights • Leverage LangChain/LangGraph and AIP for multi-agent workflows and contextual responses • Build scalable pipelines using Spark, Databricks and Delta Lake across batch and real-time architectures • Integrate Foundry with core BFSI systems including Policy Admin, CRM, Risk and Finance • Lead end-to-end solution architecture and platform design, define best practices, reusable frameworks and accelerators • Mentor engineering teams and drive architecture governance • Ensure adherence to BFSI regulations including GDPR and PII audit controls, and implement role-based access control, data security and monitoring Requirements • 13 to 18 years of experience in Data Software Engineering • Expertise in Palantir Foundry including Ontology, Pipelines, Workshop, Quiver, Code Repositories, alongside AIP and Apollo • Knowledge of GenAI concepts including LLMs, RAG and embeddings • Skills in prompt engineering, multi-agent AI architectures and ML flow model lifecycle • Proficiency in Data Engineering including Spark, SQL and Databricks • Competency in ETL/ELT design • Proficiency in Python, with SQL and Scala/Java preferred • Understanding of distributed systems, cloud platforms and API-driven design • Strong communication and stakeholder management skills with the ability to drive technical discussions • Analytical, problem-solving mindset that is autonomous, detail-oriented and collaborative Nice to have • Background in Insurance/Reinsurance domain covering Claims, Underwriting and Premium • Familiarity with Policy, Treaty data and related domain expertise