Senior AI Agent Engineer – Moveworks | Customer Deployment
ServiceNow · San Francisco, CA
- On site
- Full-time
- $150,000 / year
- San Francisco, CA
Job highlights
- Own customer AI solution implementation lifecycle.
- Design and build integrations with enterprise systems.
- Serve as trusted technical advisor to customers.
- Influence product evolution with customer feedback.
- Travel up to 25% for customer engagements.
About the role
About the Role
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 5–8 enterprise 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.
- 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, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time.
- Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution.
- Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team.
About You
You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team.
- Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences.
- Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling.
- Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does.
- Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users.
- Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions.
- Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise.
Qualifications
Required
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
- 5+ 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)
- 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
Key skills/competency
- AI Solutions Architecture
- Customer-Facing Technical Role
- LLM Systems Design
- API Integration
- Prompt Engineering
- Enterprise System Integration
- Technical Advisory
- Full-Stack Workflow Automation
- Product Feedback Synthesis
- Solution Design & Implementation
Skills & topics
- AI Engineer
- Senior AI Agent Engineer
- ServiceNow Jobs
- Customer Success Engineer
- Solutions Architect
- AI Solutions
- LLM
- Prompt Engineering
- API Integration
- Enterprise Software
How to get hired
- Tailor your resume: Highlight experience with AI, customer-facing roles, and API integration.
- Showcase technical skills: Emphasize your experience with LLMs, prompt engineering, and automation tools.
- Demonstrate customer focus: Provide examples of driving successful technical adoption and advisory roles.
- Prepare for technical interviews: Be ready to discuss AI concepts, integration challenges, and solution design.
- Network with hiring managers: Reach out to learn more about the team and company culture.
Technical preparation
Master API integration and RESTful services.,Deep dive into LLM concepts and prompt engineering.,Practice designing full-stack automation workflows.,Familiarize with enterprise platforms like ServiceNow.
Behavioral questions
Describe a complex customer problem you solved.,How do you handle ambiguity in projects?,Share an experience building customer relationships.,How do you gather and synthesize feedback?
Frequently asked questions
- What is the primary focus of the Senior AI Agent Engineer role at ServiceNow?
- The Senior AI Agent Engineer at ServiceNow focuses on owning the end-to-end technical relationship with enterprise customers. This involves translating business challenges into AI solutions using the Moveworks Platform, from design through launch, and acting as the primary technical point of contact.
- What level of customer interaction is expected for this Senior AI Agent Engineer position?
- This is a highly customer-facing, field-based role. You will be regularly in front of customers, acting as their primary technical owner for multiple engagements, and expected to travel up to 25% of the time.
- What technical skills are essential for a Senior AI Agent Engineer at ServiceNow?
- Essential technical skills include API-based systems integration, LLM-based systems design (prompt engineering, context engineering, data modeling), and experience designing/building full-stack workflows and automations using REST APIs, iPaaS tools, or scripting languages like Python, JavaScript, or Golang.
- What enterprise platforms are relevant for this ServiceNow role?
- Familiarity with enterprise platforms such as ServiceNow, Workday, Okta, Jira, Zendesk, and Jira Service Desk is preferred for this role. Experience integrating with these systems is highly valuable.
- How does ServiceNow approach AI in its platform and culture?
- ServiceNow is building an AI-native culture, positioning its platform as an AI control tower for business reinvention. They aim to bring together AI, data, and workflows to help companies work smarter, faster, and better, freeing people from busywork for more meaningful tasks.
- What is the expected travel percentage for the Senior AI Agent Engineer role?
- The role requires willingness and ability to travel up to 25% of the time to engage with enterprise customers for implementation and support.
- Can I apply for the Senior AI Agent Engineer role if I have less than 5 years of experience?
- The required qualifications specify 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. Candidates with less experience may not meet the minimum requirements.