Senior AI Agent Engineer - Moveworks

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.

Responsibilities

• 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
• 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.
• 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

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