AI Solution Architect/Engineer; ServiceNow
Listed on 2026-01-02
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IT/Tech
AI Engineer
Location: California
STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India.
Our global solutions team is seeking an experienced Service Now AI Solution Architect / Engineer focused on the solutioning, design, implementation, and optimization of next-generation AI capabilities within Service Now for our global media & entertainment client’s enterprise environment. Our team plays a key role in the implementation and delivery of key Service Now features and you’ll be responsible for leading the configuration, integration, and enablement of Service Now’s AI Agent Studio, Model Context Protocol (MCP), and Generative AI Controller components.
You’ll work our team and with different client business and engineering teams to understand their specific use cases, and enable these within the Service Now ecosystem of AI products and solutions.
Our ideal resource combines deep technical Service Now expertise with a strong understanding of AI use cases, data governance, and enterprise architecture. Our goal will be to bridge our client’s business objectives with the rapidly evolving Service Now AI landscape. You will act as both a strategic advisor and a hands‑on engineer ensuring AI capabilities deliver measurable business value today and scale effectively for future innovation.
This is an exciting time to deliver solutions around the world‑class capabilities of the Service Now platform are setting up interviews immediately for this project and if you think you have what it takes to make an impact with an incredible team, we’d love to hear from you!
The project work will be accomplished Monday – Friday, and the role and work can be done remotely within the United States.
Key Responsibilities- Architect and implement Service Now 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 Service Now with external AI ecosystems using Model Context Protocol (MCP), ensuring secure, standardized communication between enterprise assistants and the platform.
- Assess and optimize the current Service Now 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 Service Now AI roadmap releases, MCP standards, and generative AI trends to proactively guide client strategy and solution evolution.
- 5 years of Service Now implementation experience, with at least 2 years focused on AI, Virtual Agent, or Now Assist capabilities.
- Proven experience with Service Now 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 Service Now.
- Excellent communication skills with the ability to translate complex technical concepts into business…
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