Senior AI Agent Engineer – Moveworks | Customer Deployment

ServiceNow ServiceNow · Enterprise · San Francisco, CA +1 · Support and Product Success

Senior AI Agent Engineer focused on customer deployments, architecting and implementing AI solutions on the Moveworks Platform, integrating with enterprise systems, and advising customers on their Agentic AI roadmap. This is a customer-facing role requiring strong technical and communication skills.

What you'd actually do

  1. Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle.
  2. Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways.
  3. Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others.
  4. Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time.
  5. Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution.

Skills

Required

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
  • 5+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer
  • Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers
  • Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang)
  • Willingness and ability to travel up to 25% of the time
  • Ability to operate across multiple business functions and technical domains
  • API-based systems integration
  • LLM-based systems design including prompt engineering, context engineering, and data modeling

Nice to have

  • Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta
  • Familiarity with Linux and Windows environments and command line
  • Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions

What the JD emphasized

  • customer-facing
  • enterprise customers
  • AI solutions
  • Moveworks Platform
  • enterprise systems
  • Agentic AI roadmap
  • AI into work processes

Other signals

  • customer-facing
  • implementations
  • AI solutions
  • Moveworks Platform
  • enterprise systems integration
  • Agentic AI roadmap