Job title: Palantir Architect
Location: Houston, TX - onsite
Duration: [6–12 months, extendable]
W2 Only
One key point to note is that Palantir is the main skill here. Utility domain can be seen as secondary
Job description
We are seeking a seasoned consultant with strong utility domain expertise combined with data platform and AI capabilities (Palantir Foundry & AIP) to drive end-to-end transformation initiatives.
Key Responsibilities
• Leverage deep understanding of the utility value chain, including Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics, to deliver improvements in revenue assurance, customer experience, and grid reliability
• Design and implement ontology-driven data models in Foundry, including defining object types, link types, and action types, and exposing them for downstream applications and AIP use cases
• Develop and manage data pipelines leveraging Foundry’s data layer, including datasets, transactions, schema evolution, and incremental vs. snapshot transformations, ensuring data quality and reliability
• Build and operationalize AI-powered solutions using AIP, including Logic, Agents, Assist, and Automate, with function-backed objects and actions
• Apply prompt engineering, evaluation frameworks, and tool/function integration to enable scalable and production-grade AI applications
• Utilize Foundry applications such as Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate to deliver end-to-end data and analytics solutions
• Collaborate with business and technology stakeholders to translate domain requirements into scalable data and AI solutions aligned to business outcomes
• Drive best practices in data governance, lineage, and dataset health management
Preferred Qualifications
• 8–15 years of experience in utilities, data engineering, analytics, or digital transformation programs
• Strong exposure to utility operations and processes (billing, customer engagement, outage management)
• Hands-on experience with Palantir Foundry and/or similar modern data platforms
• Experience in AI/ML and enterprise AI platforms, preferably AIP or equivalent
• Strong problem-solving, stakeholder management, and communication skills
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