Palantir Architect

Client: Client•Houston, TX

7h•$86

About The Position

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.

Requirements

Strong utility domain expertise combined with data platform and AI capabilities (Palantir Foundry & AIP)
Deep understanding of the utility value chain, including Meter-to-Cash (M2C), Customer Analytics, and Outage Analytics
Experience designing and implementing ontology-driven data models in Foundry
Experience developing and managing data pipelines leveraging Foundry’s data layer
Experience building and operationalizing AI-powered solutions using AIP
Experience with prompt engineering, evaluation frameworks, and tool/function integration
Experience with Foundry applications such as Pipeline Builder, Code Repositories, Code Workbook, Contour, Object Explorer, Workshop, Quiver, and Slate
Ability to collaborate with business and technology stakeholders
Strong problem-solving, stakeholder management, and communication skills

Nice To Haves

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

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