Senior AI Agent Engineer | Moveworks
$143k - $243k • San Francisco, California, United States; Remote • Full-time
Posted 26d ago
Job Location
San Francisco, California, United States; Remote
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Agent Engineer
About the job
This customer-facing role involves owning the end-to-end technical relationship with enterprise clients, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. You will serve as the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch, and will be comfortable collaborating with both customer IT teams and internal engineering and product teams. This is not a back-office role; you will be in front of customers regularly and are expected to travel up to 25% of the time.
Responsibilities
- Serve as the primary technical owner for 5-8 enterprise customer engagements, driving adoption and outcomes.
- Partner with customers to architect and deliver AI solutions leveraging the Moveworks Platform.
- Design and build integrations between the Moveworks Platform and customer enterprise systems.
- Act as a trusted technical advisor, helping customers develop their Agentic AI roadmap.
- Synthesize customer feedback and technical gaps to influence platform evolution.
- Generalize successful customer solutions into reusable templates and share learnings.
Requirements
- Experience leveraging or integrating AI into work processes, decision-making, or problem-solving.
- 5+ years of experience in a customer-facing technical role (Solutions Engineer, Customer Success Engineer, Solutions Architect, etc.).
- Demonstrated track record of driving successful 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.
- 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.
- Strong grasp of API-based systems integration.
- Experience with LLM-based systems design, including prompt engineering, context engineering, and data modeling.
- Rapid learner with high technical aptitude.
- Familiarity with enterprise platforms like ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta (preferred).
- Familiarity with Linux and Windows environments and command line (preferred).
- Current on the latest AI tools, frameworks, and agentic design patterns (preferred).
Benefits
- Base pay of $143,200 - $243,400
- Equity (when applicable)
- Variable/incentive compensation
- Health plans, including flexible spending accounts
- 401(k) Plan with company match
- ESPP
- Matching donations
- Flexible time away plan
- Family leave programs