Palantir Forward Deployed Engineer-Senior Associate

Job Description: Palantir Forward Deployed Engineer – Senior Associate (PwC US AC) 

PwC US - Acceleration Center is seeking a Palantir Forward Deployed Engineer at the Manager level. In this role, you will play a critical role in building and deploying cutting-edge AI / Machine Leaning / Generative AI applications using Palantir Foundry. The ideal candidate should have strong background in AI / Machine Learning / Generative AI methodologies, designing analytical workflows / application, developing and deploying models, and building AI applications that scale across Foundry’s ontology and operational applications.  

Responsibilities: 

•    Solution Engineering & Workshop Development: 

• Design and implement data pipelines, transformation workflows, and integrations within Palantir Foundry. 

• Build and configure Foundry Ontology objects, datasets, operational applications, and end-to-end solution workflows. 

• Develop scalable backend components using Python, SQL, Spark, and Foundry-native toolsets. 

• Perform full stack application development, DevOps and database development 

• Support ML and analytics solutions by integrating data science models into production workflows. 

• Leverage primary application tools using workshop and slate to build create powerful applications out of no-code, low-code, and code-based widgets. 

AIP (Artificial intelligence platform) & Foundry Workflow Development: 

• Build end-to-end analytical workflows in Palantir Foundry, integrating data ingestion, transformations, modeling, and operational decision-support tools. 

• Leverage Foundry components (Code Workbooks, Transforms, Ontology, Operational Apps) to design scalable data products. 

• Support MLOps processes including model deployment, monitoring, versioning, and automated retraining. 

• Advanced Analytics & Modeling:  

• Design and develop machine learning models (forecasting, classification, optimization, NLP, clustering, etc.) using Python, Spark, and Foundry-native capabilities.  

• Perform exploratory data analysis to understand client datasets, assess quality, and identify actionable insights.  

• Create reusable feature engineering pipelines and analytical modules within Foundry’s dataset and transformation framework.  

• Evaluate model performance, interpret results, and communicate implications to diverse stakeholders.  

• Knowledge and understanding of Palantir’s Artificial Intelligence Platform (AIP) which connects AI with data and operations. 

Foundry Data Integration, Connectivity Builds: 

• Understanding of data connectivity and integration tools that extend far beyond typical extract-transform-load (ETL) or extract-load-transform (ELT) solutions 

• Leverage Foundry’s data transformation, pipeline management capabilities to build AI ready datasets. 

• Work on an integrated suite of data transformation authoring, change management, data quality, pipeline scheduling, and metadata introspection capabilities that work cohesively to provide an "mission control" for data engineers.  

Client Engagement & Delivery 

• Develop client-ready documentation, dashboards, training materials, and workshops to support adoption. 

• Participate in agile project delivery, sprint planning, and iterative solution refinement 

Requirements: 

• Bachelor's or master’s degree in computer science, Data Science, or a related field. 

• 5+ years of relevant technical/technology experience, with significant expertise in AI / GenAI projects with production deployment experience. 

• Work closely with stakeholders to architect, build, and maintain applications based on their use cases. 

• Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. 

• Hands-on experience using Palantir Foundry, including transforms, datasets, ontology, and operational applications. 

• Experience delivering production ML and/or LLM-based solutions. 

• Proficiency in Typescript. 

• Experience deploying ML models or analytical workflows inside Foundry (training pipelines, inference workflows). 

• Familiarity with DevOps/MLOps tools (Git, CI/CD). 

• Background in industries where Foundry is widely adopted (public sector, supply chain, energy, healthcare, financial services). 

• Solid understanding of SQL and distributed computing (Spark/PySpark). 

• Superior communication and collaboration skills 

• Ability to operate effectively in a dynamic, fast-paced environment. 

Join PwC US - Acceleration Center as a Senior Associate in Palantir AI practice to lead transformative projects and drive innovation in a collaborative and forward-thinking environment. We offer a competitive compensation package and significant opportunities for career advancement and professional growth. 

  Preferred Qualifications: 

- BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute