
Staff AI Agent Engineer β Implementations, Partner Success
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in New York.
β’ Collaborate with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks Platform, including Vision-Lock, Solution Design/Architecture, Development, Optimization, and launch.
β’ Design, architect, and provide consultation to customers on impactful technical AI solutions.
β’ Create and implement secure, high-performance integrations between the Moveworks Platform and various enterprise systems such as ServiceNow, Workday, Okta, Jira, among others.
β’ Act as a reliable technical advisor on clientsβ Agentic AI strategies.
β’ Enhance customer teams' capabilities to operate the platform autonomously.
β’ Aggregate customer feedback and identify technical gaps to collaborate with Moveworks Engineering and Product teams for platform advancement.
β’ Transform successful customer solutions into reusable templates and disseminate insights across the team.
β’ Develop architecture diagrams, solution proposals, and Statements of Work (SOWs) for both technical and business stakeholders.
β’ Willingness to travel up to 25% of the time for direct engagement with customers and partner teams.
β’ Over 8 years of experience in a customer-facing technical position.
β’ Proven history of successfully driving technical adoption among mid-to-large enterprise clients.
β’ Proficiency in designing, developing, and deploying full-stack workflows and automation processes.
β’ Familiarity with REST APIs, iPaaS tools (such as Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (including Python, JavaScript, Golang).
β’ Demonstrated ability to determine methods and procedures for new assignments independently.
β’ Experience in leading projects and coordinating efforts among team members.
β’ Willingness and capability to travel up to 25% of the time.
β’ Ability to navigate across various business functions and technical areas.
β’ Strong understanding of API-based systems integration.
β’ Experience in designing LLM-based systems, including prompt engineering, context engineering, and data modeling.
β’ Excellent communication and relationship-building skills.
β’ Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta (preferred).
β’ Knowledge of Linux and Windows environments and command line (preferred).
β’ Up-to-date knowledge of AI tools, frameworks, and agentic design patterns (preferred).
β’ Equity (when applicable).
β’ Variable/incentive compensation.
β’ Health plans.
β’ Flexible spending accounts.
β’ 401(k) Plan with company match.
β’ Employee Stock Purchase Plan (ESPP).
β’ Matching donations.
β’ Flexible time away plan.
β’ Family leave programs.
β’ Flexible or remote work options.
Stryker
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Stryker
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