Enterprise AI Solutions Engineer (Customer-Facing)

ServiceNow

Myrtle Point (OR)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

ServiceNow seeks a seasoned Solutions Architect-style professional to own end-to-end technical relationships with 5–8 enterprise customers, translating business challenges into AI-enabled Moveworks platform solutions. You will drive adoption, architect integrations with ServiceNow, Workday, Jira, Okta, and more, and guide customers through the full implementation lifecycle.

You will collaborate with engineering and product teams, provide strategic advisory on AI roadmaps, and abstract learnings

Qualifications

  • 8+ years in a customer-facing technical role.
  • Proven track record of driving technical adoption with mid-to-large enterprise customers.
  • Experience designing, building, and launching full-stack workflows leveraging REST APIs and iPaaS tools or scripting languages.
  • Willingness and ability to travel up to 25% of the time.
  • Ability to operate across multiple business functions and technical domains.

Responsibilities

  • Own end-to-end technical relationships with 5–8 enterprise customers.
  • Architect and deliver high-impact AI solutions on Moveworks Platform.
  • Design secure, scalable integrations with customer systems (e.g., ServiceNow, Workday, Okta, Jira).
  • Act as trusted technical advisor and help customers develop AI roadmaps.
  • Synthesize customer feedback to inform platform evolution.

Skills

REST APIs
Python
JavaScript
Golang
LLM-based design
Context engineering
Data modeling
Cloud integration
Communication
Travel readiness

Tools

Workato
Azure Functions
AWS Lambdas
ServiceNow Flow Designer

Job description

ServiceNow seeks a seasoned Solutions Architect-style professional to own end-to-end technical relationships with 5–8 enterprise customers, translating business challenges into AI-enabled Moveworks platform solutions. You will drive adoption, architect integrations with ServiceNow, Workday, Jira, Okta, and more, and guide customers through the full implementation lifecycle.

You will collaborate with engineering and product teams, provide strategic advisory on AI roadmaps, and abstract learnings

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