Engineering Manager, Agentic Systems - Moveworks

ServiceNow • Mountain View, CA

11h • Onsite

About The Position

Moveworks is an Agentic AI Assistant platform that empowers the entire workforce by enabling employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. The platform is powered by advanced LLMs, proprietary models, and a sophisticated Agentic AI platform, transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt. Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500. It has been recognized on the Forbes Cloud 100 and AI 50 lists, named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, and received Microsoft’s 2025 Partner of the Year and the 2024 AI Breakthrough Award. In December 2025, Moveworks was acquired by ServiceNow, combining ServiceNow’s workflow automation with Moveworks’ Reasoning Engine and natural language capabilities to deliver an AI platform for every person and every workflow. ServiceNow, founded in 2004, is a global market leader bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500.

As the Engineering Manager for the Machine Learning Infrastructure team, this role involves spearheading the development of the cutting-edge platform that powers Moveworks' conversational AI. This position is critical to the long-term scalability of the core AI product and the company. The primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. The manager will guide the team's technical vision, balancing the operational demands of core ML infrastructure with forward-looking research to build the next generation of LLMs using cutting-edge generative AI. The frameworks built by this team serve as the foundation for all ML models in production, serving hundreds of millions of enterprise employees, and will be instrumental in shaping the Moveworks Enterprise Copilot platform and defining the future of AI-driven employee services.

Requirements

• A Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
• 5+ years of industry experience with a proven track record of leading or managing high-performing machine learning or infrastructure teams.
• Deep technical expertise in designing, building, and scaling end-to-end machine learning systems in production environments.
• Strong command of Python and experience with performant languages such as C++ or GoLang.
• Extensive experience with deep learning frameworks like PyTorch or Hugging Face.
• Hands-on experience with modern LLM infrastructure, including distributed training frameworks (e.g., Deepspeed) and inference/serving frameworks (e.g., vLLM, TensorRT-LLM, Kubernetes).
• A strategic mindset with experience balancing the demands of operating robust, scalable infrastructure with the need for forward-looking research and development.
• Excellent communication and collaboration skills, with experience working cross-functionally to deliver complex projects.

Responsibilities

• Lead, Mentor, and Grow a world-class team of ML and Systems Engineers, fostering a culture of innovation, ownership, and operational excellence that aligns with Moveworks' core principles.
• Own the Technical Vision and roadmap for the end-to-end ML platform that powers the entire lifecycle—from data synthesis and distributed training to ultra-low-latency inference and serving—for hundreds of production models, including our proprietary MoveLM series.
• Drive the Strategy for model performance and efficiency, making critical architectural decisions to optimize our GPU infrastructure for latency, throughput, and cost at massive scale.
• Partner with Leaders across agentic platform, search platform, product engineering, and core infrastructure teams to define and deliver the foundational infrastructure that will power the next generation of agentic AI experiences.
• Champion a Product Mindset for your platform, building powerful abstractions and tools that accelerate the velocity of machine learning engineers and researchers across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees