Senior AI Agent Engineer | Moveworks

Job description

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 For positions in this location, we offer a base pay of $143,200 - $243,400 , plus equity (when applicable), variable/incentive compensation and benefits.

Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.