Senior AI Agent Engineer

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better.

We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

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 Service Now, 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.

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…