About the job
As a AI Agent Engineer (AIAE), specializing in strategic implementations and partnership initiatives at Moveworks, you’ll be responsible for ensuring a successful technical delivery of the Moveworks platform for new customers and initiatives, working alongside Implementation Managers and the broader Partner ecosystem to understand customer requirements, perform discovery, and drive all technical aspects around our post-sales engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering. Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform. 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.
Responsibilities
Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch.
Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges.
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.
Qualifications
Minimum
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
Preferred
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