AI Solution Architect / Engineer (ServiceNow)

Stand8 Technology Consulting provides end-to-end IT solutions to enterprise partners across the United States. They are seeking an experienced ServiceNow AI Solution Architect / Engineer to design, implement, and optimize AI capabilities within ServiceNow for their global media and entertainment client.

Responsibilities:

• As a solution architect, design and implement ServiceNow AI solutions including AI Agent Studio, Generative AI Controller, and Now Assist capabilities across key business domains
• Lead AI enablement initiatives, translating client business goals into actionable AI workflows, intelligent agents, and automations
• Integrate ServiceNow with external AI ecosystems using Model Context Protocol (MCP), ensuring secure, standardized communication between enterprise assistants and the platform
• Assess and optimize the current ServiceNow landscape, identifying technical readiness, data quality, and configuration needs to support AI adoption
• Develop proof-of-concepts and production rollouts demonstrating measurable ROI through AI-driven automation and user experience enhancements
• Collaborate with cross-functional teams-platform admins, data engineers, product owners, and business stakeholders-to define, test, and deploy AI use cases
• Establish governance frameworks for AI use, including prompt safety, data protection, and Now Assist Guardian configuration
• Create and maintain technical documentation including design artifacts, data flows, configuration guides, and best practices
• Mentor implementation teams and client personnel on AI capabilities, RAG (retrieval-augmented generation), and LLM model management
• Stay current with ServiceNow AI roadmap releases, MCP standards, and generative AI trends to proactively guide client strategy and solution evolution

Requirements:

• Demonstrated experience delivering end-to-end implementations of ServiceNow's latest AI capabilities, including GenAI Controller, Now Assist, AI Agent Studio, and Model Context Protocol (MCP)
• Candidates must have led full lifecycle implementations (strategy, architecture, configuration, integration, deployment, and optimization). Partial implementations, proof-of-concepts only, or user-level exposure to AI features will not be considered sufficient
• 5+ years of ServiceNow implementation experience, with at least 2+ years focused on AI, Virtual Agent, or Now Assist capabilities
• Proven experience with ServiceNow architecture, flow design, and integrations (REST APIs, MID Servers, or external connectors)
• Hands-on experience with Generative AI Controller, Now LLM Service, or external LLM provider integrations (Azure OpenAI, Bedrock, Anthropic, etc.)
• Working knowledge of AI Agent Studio setup, orchestration, and configuration for domain-specific workflows
• Familiarity with Model Context Protocol (MCP) or similar AI integration standards; ability to architect secure, standards-based connections between systems
• Strong understanding of AI Search, RAG, and knowledge management design principles in ServiceNow
• Excellent communication skills with the ability to translate complex technical concepts into business value for executive and non-technical stakeholders
• The solution architect should demonstrate strong collaboration within IT and Information Technology environments to ensure enterprise-level scalability and governance
• ServiceNow certifications such as Certified Implementation Specialist (CIS), Certified Application Developer (CAD), or Certified Technical Architect (CTA) preferred; Now Assist or AI Specialist certifications highly desirable