Staff AI Agent Engineer – Moveworks | Customer Deployment

ServiceNow•New York, NY

9h•Remote

About The Position

You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team.

Requirements

8+ 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)
Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems
Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders
Willingness and ability to travel up to 25% of the time
Ability to operate across multiple business functions and technical domains
Strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences.
Strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling.
Rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does.
Strong product taste and are obsessed with delivering exceptional experiences for end users.
Lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions.
Strong sense of personal accountability to both customers and internal teammates who rely on your expertise.

Nice To Haves

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

Responsibilities

Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle.
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.
Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others.
Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time.
Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution.
Generalize successful customer solutions into reusable templates and share learnings broadly across the team.