Palantir Data Solution Architect

EPAM Systems; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

EPAM Systems seeks 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 drives Foundry adoption, AIP-powered GenAI solutions, and intelligent chatbots to enable automation, decision intelligence, and regulatory-compliant data platforms.

Responsibilities include building data pipelines, governance, and multi-agent AI architectures; integrating external LLMs; and mentoring teams

Qualifications

• 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; 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.

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.

Skills

Palantir Foundry

Ontology

Pipelines

Data workflows

AIP

GenAI concepts

LLMs

Prompt engineering

Multi-agent AI

ML lifecycle

Spark

SQL

Databricks

Delta Lake

ETL/ELT design

Python

Scala/Java

Distributed systems

Cloud platforms

API design

Communication

Stakeholder management

Analytical thinking

Tools

Databricks

Delta Lake

Code Repositories

Job description

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 DatabricksCompetency 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