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Senior Staff AI Agent Engineer

Moveworks
San Francisco, California, United States
On-site

About this role

Senior Staff AI Agent Engineer

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.

What You'll Own:

Customer Technical Relationships: Serve as the primary technical owner across 3-5 of the largest strategic customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle.

Solution Design & Architecture: 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. Develop novel AI Agent frameworks, architectural patterns, or tooling that establish new internal capabilities.

Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others.

Strategic Advisory: Serve as a trusted technical advisor both externally, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time as well as internally, shaping a multi-year technical strategy for the platform

Cross-organization initiatives: Align across Engineering, Product, Customer Success, and Sales leadership to coordinate and plan complex workflows that depend on multiple teams and infrastructure, which may be systemic gaps in platform capability or delivery methodology

Mentorship & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnin

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