We are seeking a seasoned Palantir Architect with strong expertise in Palantir Foundry and AIP, combined with utility domain knowledge, to drive end-to-end digital transformation initiatives. The ideal candidate will design scalable data platforms, implement ontology-driven data models, develop AI-powered solutions, and collaborate with business stakeholders to deliver high-impact analytics and operational improvements. Palantir expertise is the primary requirement, while utility domain experience is considered a strong plus.
Role and Responsibilities:
Leverage deep understanding of the utility value chain, including Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics, to improve revenue assurance, customer experience, and grid reliability.
Design and implement ontology-driven data models in Palantir Foundry, including object types, link types, and action types for downstream applications and AIP use cases.
Develop and manage data pipelines using Foundry's data layer, including datasets, transactions, schema evolution, and incremental versus snapshot transformations.
Ensure data quality, reliability, and governance across enterprise data platforms.
Build and operationalize AI-powered solutions using Palantir AIP, including Logic, Agents, Assist, and Automate.
Develop function-backed objects and actions to support enterprise AI use cases.
Apply prompt engineering, evaluation frameworks, and tool/function integration to build scalable production-grade AI applications.
Utilize Foundry applications including Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate for end-to-end analytics solutions.
Collaborate with business and technology stakeholders to translate business requirements into scalable data and AI architectures.
Drive best practices in data governance, lineage, metadata management, and dataset health monitoring.
Provide technical leadership and architectural guidance for enterprise data and AI initiatives.
Required Skills:
10+ years of experience in Data Engineering, Data Architecture, Analytics, or Digital Transformation.
Strong hands-on experience with Palantir Foundry.
Experience with Palantir AIP (Artificial Intelligence Platform).
Ontology-driven data modeling.
Data Pipeline Development and Data Integration.
Data Governance, Lineage, and Metadata Management.
AI/ML platform implementation and enterprise AI solutions.
Prompt Engineering and AI evaluation frameworks.
Foundry tools including Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate.
Strong stakeholder management and solution architecture experience.
Excellent analytical, communication, and problem-solving skills.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
10+ years of relevant experience in enterprise data platforms and analytics.
Hands-on expertise with Palantir Foundry is required.
Experience with Palantir AIP or comparable enterprise AI platforms is highly preferred.
Utility domain experience (Meter-to-Cash, Customer Analytics, Outage Analytics, Billing, Customer Engagement, or Outage Management) is preferred but secondary to Palantir expertise.
Experience designing scalable enterprise data and AI solutions.
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.
Skills
Analysis Skillsunmatched
Application Buildersunmatched
Architectural Analysisunmatched
Artificial Intelligence (AI)unmatched
Best Practicesunmatched
Billingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Customer Experienceunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Qualityunmatched
Data Scienceunmatched
Data Setsunmatched
Enterprise Architectureunmatched
Information Technology & Information Systemsunmatched
Metadataunmatched
Multiplatform/Cross-Platformunmatched
Ontologyunmatched
Operational Auditunmatched
Operational Improvementunmatched
Power Outagesunmatched
Problem Solving Skillsunmatched
Requirements Managementunmatched
Revenue Analysisunmatched
Sales Pipelineunmatched
Scalable System Developmentunmatched
Technical Leadershipunmatched
Use Casesunmatched
Value Chain Modelunmatched
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