Data AI ServiceNow Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data AI ServiceNow Engineer based in the United States. The Data AI ServiceNow Engineer will strengthen enterprise data foundations and enable the adoption of advanced AI capabilities across a large-scale IT environment supporting a critical government mission. You will focus on ServiceNow data architecture, AI readiness, integrations, and data quality to ensure the platform can support secure, reliable, and effective AI-driven workflows. Working with emerging technologies such as Now Assist and Workflow Data Fabric, you will help prepare enterprise systems for evolving AI use cases. You will assess technical readiness, identify architectural gaps, and develop practical roadmaps for platform enhancement. In close collaboration with architects, developers, cybersecurity specialists, and government stakeholders, you will ensure solutions meet operational and compliance requirements. This hybrid opportunity combines hands-on engineering with strategic technical planning in a mission-driven environment. Accountabilities As a Data AI ServiceNow Engineer, you will provide technical leadership across ServiceNow data and AI enablement initiatives, ensuring enterprise information, integrations, and platform capabilities are prepared to support government-approved AI solutions. - Provide engineering expertise in ServiceNow data architecture, AI readiness, enterprise data quality, integrations, and AI-related capabilities such as Now Assist. - Assess AI readiness across platform architecture, Common Service Data Model (CSDM), Configuration Management Database (CMDB), data structures, knowledge bases, integrations, security, access controls, and governance. - Identify AI readiness gaps, data quality issues, architectural dependencies, and technical prerequisites. - Configure, test, and support government-approved ServiceNow AI capabilities, including Now Assist for ITSM, Virtual Agent enhancements, and generative AI features. - Develop and maintain integrations and data pipelines to support AI workloads and align enterprise data flows.

- Prepare platform data for AI use cases through normalization, enrichment, governance, and model-ready structuring. - Support Workflow Data Fabric, ServiceNow data architecture, and emerging enterprise data capabilities. - Evaluate new ServiceNow AI products and platform updates, assessing their business value, technical suitability, risks, and alignment with mission requirements. - Identify implementation risks, governance considerations, security implications, and integration dependencies associated with AI initiatives. - Develop AI capability roadmaps to guide platform evolution, adoption, and incremental readiness. - Support architecture design, testing, release management, technical analysis, and knowledge transfer for data and AI capabilities. - Collaborate with architects, developers, cybersecurity teams, government stakeholders, and enterprise contractors to ensure technical alignment and compliance. Requirements The ideal candidate combines strong IT and data engineering expertise with hands-on ServiceNow experience and a solid understanding of enterprise AI enablement. You should be comfortable working in secure government environments and translating complex technical requirements into practical engineering solutions. - Active Secret security clearance. - IAT Level II certification, such as Security+ CE or an equivalent qualification. - Bachelor's degree in Computer Science, Data, Information Technology, or a related field. - At least 6 years of overall experience in IT engineering, data engineering, or platform engineering. - At least 3 years of experience in AI engineering, AI integration, or AI-enabled workflow development.