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