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ServiceNow's AI Foundry team is seeking a Senior Advisory AI Foundry Architect to lead high-impact AI proof-of-concept engagements with enterprise customers. The AI Foundry operates on a forward-deployed model, embedding architects directly with customer teams to design, build, and deliver working AI solutions within 3-4 weeks, tied to measurable business outcomes.
In this role, you will own end-to-end POC execution, combining strategic architecture work with hands-on technical delivery. You'll lead intake and scoping workshops to qualify AI opportunities, design and build AI solutions across ServiceNow's full AI surface (Now Assist, AI agents, AI governance, predictive and retrieval-based AI), and guide AI engineers through delivery while maintaining technical direction. You'll operate autonomously in ambiguous situations with compressed timelines, shipping working prototypes against fixed time-boxes.
You'll also partner closely with Sales throughout the customer lifecycle: conducting discovery to uncover AI use case fit, positioning AI products against customer challenges, articulating POC outcomes to executive stakeholders, and managing the handoff to implementation partners post-POC.
Technically, you'll configure Now Assist and AI agents, integrate with enterprise data sources, define evaluation criteria for POC success, and build reusable assets (prompt libraries, agent templates, reference POCs, integration patterns) that scale team output. You're equally comfortable in architecture reviews with C-level sponsors and in hands-on technical builds.
Travel as required for customer engagements.
REQUIREMENTS
Essential:
- 8+ years of presales technical delivery on enterprise SaaS platforms, with demonstrable track record of shipping outcome-based solutions under compressed timelines
- High agency and comfort with ambiguity; ability to take loosely defined business problems, define the technical path, and make sound scoping decisions without complete information
- Experience running consultative customer workshops to drive business-critical use cases and documenting scope and success criteria clearly enough to hold under scrutiny
- Strategic thinking about AI in enterprise workflows; ability to identify fit-for-purpose AI use cases and articulate business outcomes
- Experience across enterprise AI: agentic systems, LLM integration, AI governance, or AI-driven process automation
Nice-to-have:
- Experience in a forward-deployed or embedded customer model
- Deep hands-on expertise with the ServiceNow platform: low/pro-code configuration, workflow automation, integrations, and Now Assist / AI Agent capabilities
- Experience delivering AI in regulated or security-constrained environments, including data residency and sovereign or private deployment
- Track record of building and scaling reusable assets / frameworks across delivery teams
