Senior AI Agent Engineer | Moveworks

ServiceNow • San Francisco, CA

1d

About The Position

The Senior AI Agent Engineer owns the end-to-end technical relationship with enterprise customers, translating complex business challenges into AI solutions built on the Moveworks Platform. This customer-facing, field-based role is the primary technical point of contact throughout the implementation lifecycle, from solution design through launch, and involves regular customer engagement and travel up to 25% of the time.

The role spans customer technical ownership, solution architecture, integrations, strategic advisory, product feedback, and reusable solution development. The engineer works with customer IT teams and executive stakeholders, as well as internal engineering and product teams, to deliver secure, performant integrations and help customers plan for and adopt Agentic AI. The role requires a technical generalist who enjoys combining engineering, consulting, and customer success, and who can communicate effectively with both technical and business audiences.

Requirements

• Experience leveraging or critically evaluating how to integrate AI into work processes, decision-making, or problem-solving; examples may include AI-powered tools, workflow automation, AI-driven insights, or exploring AI’s potential impact on a function or industry.
• At least 5 years of experience in a customer-facing technical role, such as Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer.
• Demonstrated success driving technical adoption with mid-to-large enterprise customers.
• Experience designing, building, and launching full-stack workflows and automations using REST APIs, iPaaS tools, or scripting languages.
• Ability to work with tools such as Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer, or scripting languages such as Python, JavaScript, or Golang.
• 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, including the ability to create compelling solution narratives and artifacts for technical and business audiences.
• Strong grasp of API-based systems integration and LLM-based systems design, including prompt engineering, context engineering, and data modeling.
• Rapid learning ability and high technical aptitude.
• Strong product judgment and focus on delivering exceptional end-user experiences.
• Ability to navigate ambiguity and legacy systems, and work across engineering, product, and business functions.
• Strong personal accountability to customers and internal teammates.

Nice To Haves

• Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta.
• Familiarity with Linux and Windows environments and the command line.
• Knowledge of current AI tools, frameworks, and agentic design patterns, with thoughtful judgment about applying 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 throughout the Moveworks implementation lifecycle.
• Partner with customers to design and deliver AI solutions addressing business challenges using the Moveworks Platform.
• Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems, including ServiceNow, Workday, Okta, and Jira.
• Advise customers on developing their Agentic AI roadmap and help upskill their teams to operate the platform independently.
• Synthesize customer feedback and technical gaps, and work with Moveworks Engineering and Product teams to influence platform development.
• Turn successful customer solutions into reusable templates and share learnings across the team.
• Create customer-facing technical and business artifacts, such as architecture diagrams, solution proposals, and statements of work.
• Travel up to 25% of the time.

Benefits

• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• Employee stock purchase plan (ESPP)
• Matching donations
• Flexible time away plan
• Family leave programs
• Equity, when applicable
• Variable/incentive compensation; sales positions generally offer an On Target Earnings incentive structure

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed