Tech Vedika - Palantir Foundry/AIP Engineer in Hyderabad, भारत

Work Mode : Fully RemoteRole : Palantir Foundry / AIP EngineerKey Focus Areas : Palantir Foundry, Ontology, Application Development, Data Engineering, AIP / AI WorkflowsAbout the Role : We are looking for strong Palantir Foundry / AIP Engineers who can work across application development, data engineering, Ontology design, and AI workflow https://jobeax.com/link/mVpZoXkewt54gj3X ideal candidate should have hands-on experience building end-to-end enterprise solutions - not just Foundry pipelines or dashboards. You should be capable of translating business problems into scalable, data-driven applications and intelligent https://jobeax.com/link/INsJOvbWZUnhOf7E will work across the complete solution lifecycle : External Data Sources - Data Engineering - Ontology - Business Logic & Actions - Applications - AIP / AI https://jobeax.com/link/N68neo3RDdNk2oft similar to an AI Forward Deployed Engineer (AI FDE), with the ability to understand business requirements and translate them into working technical solutions, is highly https://jobeax.com/link/geoNksFqu25iyuZh Responsibilities : - Design, develop, and maintain end-to-end solutions using Palantir Foundry and AIP.- Integrate data from internal and external enterprise sources and build reliable data pipelines.- Design and implement business-oriented Ontology models, including object types, properties, relationships, actions, and functions.- Develop business applications and workflows using Foundry Workshop, Ontology APIs, and related application development tools.- Build AI-powered workflows, agents, and enterprise applications using Palantir AIP and large language models.- Implement business logic, automated actions, and human-in-the-loop workflows.- Collaborate with business stakeholders to understand requirements and convert them into scalable technical solutions.- Ensure data quality, lineage, governance, access controls, and production reliability.- Integrate Foundry applications and AI workflows with enterprise systems, APIs, and external tools.- Troubleshoot, optimise, and continuously improve data pipelines, applications, and AI https://jobeax.com/link/CvV7RRXRH5Irpfdu Technical Skills : 1. Palantir Foundry - Data Integration & Engineering : Hands-on experience in several of the following : - Data Connections and external data source integrations.- Pipeline Builder and Code Repositories.- Python and PySpark transformations.- Dataset modelling and data transformations.- Data quality, lineage, and dependency management.- Contour and Quiver for data exploration and analysis.- Foundry Automate for workflow https://jobeax.com/link/yWWIQrFPcrzVPHfY traditional data engineering experience is a significant advantage.2. Palantir Ontology - Critical Requirement : Strong practical knowledge of Palantir Ontology is essential. Candidates should demonstrate an understanding of : - Ontology Object Types, Properties, and Relationships / Links.- Actions, Functions, and Interfaces.- Mapping datasets and data models into Ontology.- Building object-backed applications and business workflows.- Designing Ontology around real-world business concepts rather than simply exposing database tables.- Using Ontology as the semantic and operational layer connecting data, applications, workflows, and AI.3. Palantir Application Development : Experience building applications on top of Foundry data and Ontology, including : - Foundry Workshop and Ontology-backed applications.- Actions, Functions, and business workflows.- Code Repositories and Developer Console.- React and TypeScript-based application development.- Custom applications using Ontology APIs.- Integration with internal and external enterprise https://jobeax.com/link/LWmzBCRniXxZh95Q software engineering and application development skills are highly desirable.4. Palantir AIP / AI Workflows : Candidates must demonstrate a good understanding of Palantir AIP, with hands-on experience in the following preferred : - AIP Logic and LLM-powered workflows.- AI agents and workflow orchestration.- Using Ontology as context for AI-driven applications.- Tool calling and function calling.- AIP applications and AI-driven Actions.- Human-in-the-loop workflows.- AI governance, permissions, and access controls.- MCP (Model Context Protocol).- Integrating AI workflows with enterprise systems, tools, and external https://jobeax.com/link/O0WQNU5lHTvHZX3G should understand how to operationalise AI against enterprise data and business processes, beyond basic LLM prompting.5. Programming & Data Engineering : High-priority skills : - Python.- PySpark.- SQL.- Data transformations and modelling.- ETL / ELT concepts.- Large-scale data https://jobeax.com/link/yYMy8aX053lYZaFG advantages : - React, TypeScript, and JavaScript.- REST APIs and backend application development.- Cloud platforms.- Databricks, Apache Spark, or similar data https://jobeax.com/link/amZebx38UksqdD22 Candidate Profile : - Strong hands-on experience with Palantir Foundry and Ontology.- Practical exposure to Palantir AIP and AI workflow implementation.- A strong foundation in data engineering and software development.- Ability to work across data pipelines, semantic modelling, application development, and AI integration.- Experience translating business requirements into production-ready technical solutions.- Strong analytical, problem-solving, and stakeholder collaboration skills.- An AI Forward Deployed Engineer mindset, combining technical depth with business https://jobeax.com/link/0JJNnsIeLmB2E9jz Makes You a Strong Fit? : You are a strong fit if you can demonstrate how you have taken a business problem from raw data ingestion through data engineering, Ontology modelling, business logic, application development, and AI-powered workflows. We value engineers who can build complete enterprise solutions rather than specialists limited to a single layer of the Foundry https://jobeax.com/link/lUqQ8luWWUhNj4Ub candidates with hands-on experience in Palantir Foundry, Ontology, and AIP / AI workflows are encouraged to apply. (ref:hirist.tech)