We are seeking a versatile and self-driven Systems Engineer to lead the architecture of our enterprise AI platforms while also supporting our core IT infrastructure. In this unique role, you will act as a full-stack owner for our Moveworks ServiceNow Platform—consulting with internal customers to build cutting-edge Agentic AI solutions—while also rolling up your sleeves to serve as an escalation point for complex L2/L3 IT system operations.
You will act as an independent practitioner who thrives on strategic autonomy. Whether you are writing custom Python scripts for a new AI workflow, assessing the broader AI vendor landscape, or troubleshooting a critical server issue, you take a proactive, problem-solving approach. If you are a "doer" who loves blending modern automation with reliable IT operations, we want you on our team.
What You’ll Do (Key Responsibilities)
Full-stack Ownership: Partner deeply with internal customers throughout the entire delivery lifecycle of AI Agents on the Moveworks ServiceNow Platform: Discussions and Planning, Solution Design/Architecture, Building, Tuning, and Prod Launch.
Custom Solution Design & Strategic Autonomy: Architect, design, and consult with customers to develop high-impact technical AI solutions. Apply creative freedom in solution design to help internal teams leverage AI in novel ways and shape their Agentic AI roadmap.
Integration & Implementation: Integrate the Moveworks ServiceNow Platform with enterprise systems in an innovative, secure, and performant manner to solve complex business challenges.
Product Partnership & Vendor Landscape: Work closely with engineering and product teams (including vendor partners like Moveworks) on new rollouts. Synthesize on-the-ground customer feedback to drive product decisions, assess the evolving AI landscape, and help evaluate the best solutions for our tech stack.
L2/L3 System Support: Responsible for the maintenance, configuration, and reliable operation of core IT services, networks, servers, virtualization, and cloud systems.
Help Desk Escalation: Serve as the escalation point for the help desk. Interact with support teams to assist in troubleshooting, identify root causes, and provide timely technical support.
Operational Excellence: Continuously proactively identify pain points and improve existing IT processes and procedures to achieve operational excellence.
Experience: 3-5+ years of experience in a technical role, such as a Forward Deployed Engineer, Solutions Engineer, Customer Success Engineer, Solutions Architect, Consulting Engineer, or Software Engineer.
Automation & Integration Expertise: Hands-on experience designing, building, and launching full-stack workflows and automations. Must be proficient in leveraging REST APIs, iPaaS automation (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), and generic scripting (e.g., Python, JavaScript, Golang).
Versatility & Adaptability: Proven ability to operate across multiple business functions and technical domains, demonstrating adaptability, quick learning, and a broad, deep technical skillset.
Self-Driven Execution: You are a fully independent practitioner who owns work with minimal guidance. You can evaluate multiple complex factors, arrive at sound technical decisions, and roll up your sleeves to get the work done.
Collaboration & Knowledge Sharing: A strong track record of contributing ideas, architectural designs, and documentation across multiple project teams, not just within your immediate assignments.
Based on 4,520 disclosed Operations salaries on RoleSuite, the role pays a median of $112K/year, with most offers between $83K and $148K (10th–90th percentile: $63K–$187K).
This posting lists $112K–$184K, above the $112K market median.
See the full Operations salary breakdown →