About the job
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
Sr Advisory AI Foundry Architect
Sydney / Melbourne
About the team
AI Foundry proves enterprise AI use cases on ServiceNow before customers commit. We work forward deployed: our architects embed with the customer's own teams and put a working solution in front of the business in 3-4 weeks, tied to a business value hypothesis agreed up front. The work spans the full AI surface of the platform: Now Assist, AI agents, AI governance and control, predictive and retrieval-based AI.
Summary
As a Sr Advisory AI Foundry Architect, you are responsible for discovering, designing, and delivering high-impact AI POCs on ServiceNow for enterprise customers. You are equally comfortable in architecture reviews with C-level sponsors and hands-on technical builds, operating autonomously where the problem is ambiguous and the timeline is short. You combine the ability to scope, design, build, and demonstrate working AI solutions with deep ServiceNow platform expertise. You own POC execution end to end, shipping working prototypes against a fixed time-box, tied to measurable business outcomes.
Responsibilities
Lead intake qualification and scoping workshops for POC engagements
Design and execute end-to-end AI POCs on ServiceNow, from discovery to live working solutions, typically delivered in a single short sprint
Lead AI engineers through POC delivery, setting scope and technical direction across the engagement
Own technical positioning during sales cycles: conduct discovery to uncover AI use case fit, position AI products against customer challenges, and articulate POC outcomes to executive stakeholders
Partner with Sales and delivery partners on opportunity qualification, technical validation, and post-POC implementation handoff
Configure Now Assist and AI agents, integrate with enterprise data sources, and define evaluation criteria for POC outcomes, using AI-assisted engineering tooling to compress build cycles
Build and maintain reusable assets (prompt libraries, agent templates, reference POCs, integration patterns) that multiply team output
Qualifications
Minimum
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: able to take a loosely defined business problem, define the technical path, and make sound scoping decisions without complete information
Experience in running consultative customer workshops to drive business critical use cases, and in 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
Preferred
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 the 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
Travel as required