Senior Staff AI Agent Engineer, ServiceNow

• 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
• 12+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer
• Or similar experience with education
• 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)
• Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems
• Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders
• Willingness and ability to travel up to 25% of the time
• Ability to operate across multiple business functions and technical domains

Desirable

• 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
• 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 learnings broadly across the team. Develop other engineers and ensure continuous growth among the team to reach higher bars of technical expertise and delivery of customer outcomes.