Senior AI Agent Engineer

Who you are

• 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
• 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
• 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

What the job involves

• 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
• 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

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time