SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
As an AI Solution Architect at ServiceNow, you will define architectural patterns that accelerate customer value realization, turning technical credibility into deal velocity. You'll serve as the trusted technical partner customers rely on to translate ambitious AI visions into solution blueprints and proof of concepts that deliver measurable outcomes.
Your primary purpose is to design and deliver AI Experience architectures, proof of concepts, and solution blueprints across the ServiceNow platform, including skills and workflows, to accelerate customer journeys.
Key Responsibilities:
- Lead architectural design sessions focused on AI Experience and Platform solutions, translating customer requirements into actionable blueprints
- Showcase platform capabilities through technical deep-dive demos that educate customers on architectural possibilities, integration capabilities, and build confidence in the solution's technical foundation
- Develop proof of concepts and technical validation frameworks for customers in assigned districts
- Collaborate with AI Experience Solution Consultants to ensure solution blueprints align with customer priorities and workshop outcomes
- Create and contribute to reusable assets, reference architectures, and industry patterns that multiply team productivity and enable consistent high-quality delivery at scale
Key Capabilities for Success:
- Deep technical mastery of ServiceNow's core platform capabilities (data model, flows, integration hub, scripting, UI frameworks, security model) with commitment to continuous learning on platform releases and emerging features
- Ability to build trusted relationships with customer platform owners, architects, and CTOs, quickly establishing credibility through technical depth and consultative approach
- Reliable delivery against commitments with ability to manage multiple technical workstreams, prioritize under pressure, and drive proof of concepts and design sessions to completion
- Capability to translate customer requirements into comprehensive, scalable solution blueprints that serve as the bridge between sales and implementation, designing end-to-end architectures with performance, integration, and extensibility in mind
- Proficiency in rapidly designing and building compelling proof of concepts that validate technical feasibility and demonstrate tangible value
- Ability to partner effectively with Solution Consultants, Specialists, and Industry Enterprise Architects to ensure AI Experience solutions align with account strategy and long-term customer roadmaps
- Skill in quickly assessing customer's current technical landscape, integration requirements, and scalability needs, then translating those into AI Experience architectures that are both aspirational and achievable
- Ingrained habit of leveraging AI tools throughout every phase of the sales cycle—from researching customer environments and generating solution blueprints to building proof of concepts and creating reusable assets
Requirements:
- 7+ years in architecture or pre-sales engineering roles
- Expertise in AI architecture, workflow automation, and integration frameworks
- Ability to design and build end-to-end solutions with scalability, performance, and rapid implementation in mind
- Strong cross-functional collaboration skills with sales, specialists, and product teams
- Demonstrated ability to build technical credibility quickly and influence customer architectural direction