Industry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.Job Description:PalantirForward Deployed Engineer- Manager (PwC US AC)
PwC US - Acceleration Center is seeking aPalantirForward Deployed Engineerat the Manager this role you will design and deploycutting-edgeAI / Machine Leaning /Generative AIapplicationsusing Palantir Foundry.You will drive innovation through scalable cloud architecturesoptimizeAI infrastructure and lead cross-functional teams in implementing transformative AIapplicationsusing Foundry. The ideal candidate will bring deepexpertiseinengineeringdesigning analyticalappsworkflow designthat scale across Foundrys ontology and operational applications.Youwill workcloselywith clients to design build integrate and operationalize data and analytics applications that solve complex business and mission challenges.
Responsibilities:
Architecture Design:
Design and implement scalable secure and high-performance architectures forMachine Learning solutions /Workshop basedapplications.
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 andidentifyactionable insights.
Create reusable feature engineering pipelines and analytical modules within Foundrys dataset and transformation framework.
Evaluate model performance interpret results and communicate implications to diverse stakeholders.
Solution Engineering &WorkshopDevelopment:
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 developmentDevOpsand database development
Support ML and analytics solutions by integrating data science models into production workflows.
Leverage primary application tools using workshop and slateto buildcreate powerful applications out of no-code low-code and code-based widgets.
AIP&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.
SupportMLOpsprocesses including model deployment monitoring versioning and automated retraining.
Knowledge and understanding ofPalantirsArtificial Intelligence Platform (AIP)whichconnects AI with data and operations.
Foundry DataIntegrationConnectivity Builds:
Understanding ofdata connectivity and integration tools that extend far beyond typical extract-transform-load (ETL) or extract-load-transform (ELT) solutions
Leverage Foundrys datatransformationpipeline managementcapabilitiesto build AI ready datasets.
Work on anintegrated suite of data transformation authoring change management data quality pipeline scheduling and metadata introspection capabilities that work cohesively to provideanmission control for data engineers.
Client Engagement & Delivery
Workingdirectly with client product owners analysts andtechnicalleads totranslatebusiness problems into analytics solutions.
Develop client-ready documentation dashboards training materials and workshops to support adoption.
Participate in agile project delivery sprint planning and iterative solution refinement
Performance Optimization:
Monitor the performance of deployed AI models and systems ensuring robustness and accuracy.
Optimizecomputational costs and infrastructureutilizationfor large-scale deployments.
Requirements:
Bachelors ormastersdegree in computer science Data Science ora relatedfield.
8 years of relevant technical/technology experience with significantexpertiseinAI /GenAI projectswith production deployment experience.
Work closely with stakeholders to architect build andmaintainapplications 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 deliveringproductionML and/or LLM-based solutions.
Proficiencyin Typescript.
Experience deploying ML models or analytical workflows inside Foundry (training pipelines inference workflows).
Familiarity with DevOps/MLOpstools (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).
Exceptional leadership problem-solving and analytical abilities.
Superior communication and collaboration skills with experience managing high-performing teams.
Ability tooperateeffectively in a dynamic fast-paced environment.
Join PwC US - Acceleration Center as a Manager inPalantirAI practiceto 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 // MCA //M.E//Masters Degree/MBA from reputed institute
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Manager
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more