Senior AI Agent Engineer - Moveworks

About the role

You will manage the technical lifecycle for enterprise clients, turning business needs into AI-driven solutions on the Moveworks platform. This role requires frequent interaction with customers, balancing hands-on technical architecture with high-level advisory and project management. You will serve as the primary technical contact, traveling up to 25% of the time to support implementations and strategy. In this capacity, you will act as a strategic partner, guiding clients through complex digital transformations centered on autonomous agent workflows. You will be responsible for ensuring that technical solutions align with long-term business objectives and operational realities. The position demands a blend of deep technical expertise and consultative selling to executive stakeholders. You will continuously evaluate emerging capabilities on the Moveworks platform to drive innovation within client environments.

Key facts

What you'll do

• Manage 5 to 8 enterprise accounts simultaneously, overseeing the full implementation process from discovery to deployment.
• Design and architect AI solutions that integrate Moveworks with systems like ServiceNow, Workday, Okta, and Jira using REST APIs and iPaaS patterns.
• Act as a technical advisor to help clients build agentic AI roadmaps and gain platform independence from single-vendor strategies.
• Translate customer feedback and technical requirements into actionable insights for the internal product and engineering teams to influence future releases.
• Create reusable solution templates and documentation to improve team efficiency and ensure consistent delivery quality.
• Deliver technical proposals, architecture diagrams, and statements of work for diverse audiences, including technical and executive stakeholders.
• Implement integrations using tools such as Workato, Azure Functions, AWS Lambdas, and ServiceNow Flow Designer to connect disparate systems.
• Demonstrate strong scripting abilities in Python, JavaScript, or Golang to automate workflows and solve complex integration challenges.
• Guide clients in integrating AI into business processes, decision-making, and automated workflows to realize measurable operational improvements.
• Travel up to 25% of the time to support on-site implementation sessions, strategic workshops, and post-launch optimization reviews.

Requirements

• 5+ years of experience in customer-facing technical roles such as Solutions Architect, Implementation Consultant, or Customer Success Engineer.
• Proven history of driving technical adoption within mid-to-large enterprise organizations across multiple departments.
• Experience building full-stack workflows using REST APIs, leveraging iPaaS tools like Workato, Azure Functions, or AWS Lambdas, and scripting in Python, JavaScript, or Golang.
• Demonstrated ability to integrate AI into business processes, decision-making, or automated workflows to improve speed and accuracy.
• Ability to travel up to 25% of the time to support global clients across different time zones and operational calendars.
• Strong communication skills with the ability to bridge the gap between technical and business stakeholders through clear and concise messaging.
• Understanding of enterprise security, compliance, and data governance considerations when designing integrated solutions.
• Capacity to operate independently and manage multiple priorities in a fast-paced, client-facing environment without constant supervision.

Nice to have

• Familiarity with enterprise platforms including ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta for faster context onboarding.
• Experience working in Linux and Windows command-line environments to troubleshoot integration issues and deploy scripts.
• Knowledge of current AI frameworks, agentic design patterns, and LLM-based system design to guide architecture decisions.

Skills & tools

• REST APIs, iPaaS (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer)
• Python, JavaScript, Golang
• LLM design, prompt engineering, context engineering, data modeling
• Enterprise systems (ServiceNow, Workday, Okta, Jira)

Practical notes

• Employment is subject to export control regulations and may require government approval for access to controlled technology.
• For application accommodations, contact globaltalentss@servicenow.com.
• ServiceNow operates with flexible work personas, and eligibility is determined by the distance between your residence and a company office.