Data AI ServiceNow Engineer

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. At least 2 years of experience with ServiceNow data, IntegrationHub, AI/Now Assist, or equivalent platform capabilities. Strong understanding of ServiceNow data modeling, CSDM, CMDB, integration patterns, and workflow automation. Experience supporting enterprise data readiness, AI enablement initiatives, or advanced ServiceNow platform capabilities. Knowledge of security controls, data governance, data quality practices, and enterprise integration architectures. Strong communication skills, with the ability to translate technical data concepts and AI requirements into actionable engineering work. Preferred Qualifications ServiceNow certifications such as Certified System Administrator (CSA), Certified Application Developer (CAD), IntegrationHub certifications, AI-related micro-certifications, or data-focused certifications. Experience implementing ServiceNow AI or Now Assist capabilities in federal or Department of Defense (DoD) environments. Experience with data governance, enterprise integrations, and workflow intelligence. Familiarity with ServiceNow Workflow Data Fabric, generative AI capabilities, and emerging AI platform features. Practical experience with JavaScript scripting, Flow Designer, and IntegrationHub. Benefits Annual salary range of $150,000–$194,000. Comprehensive medical, dental, and vision insurance. Life insurance coverage. 401(k) retirement savings plan. Access to additional voluntary benefits. Paid Time Off (PTO) for eligible regular full-time and part-time employees. Hybrid work arrangement, combining remote work and onsite presence according to business and team requirements. Opportunity to contribute to impactful government technology initiatives and work with advanced ServiceNow and AI capabilities.