This role focuses on designing, developing, and optimizing AI-powered autonomous implementation solutions using LLMs and prompt engineering to automate ServiceNow configurations, generate implementation artifacts, and accelerate time-to-deploy for customer engagements. The engineer will build multi-step agentic processes, integrate AI solutions with professional services workflows, and ensure quality outputs.

This role focuses on designing, developing, and optimizing AI-powered autonomous implementation solutions using LLMs and prompt engineering to automate ServiceNow configurations, generate implementation artifacts, and accelerate time-to-deploy. The engineer will build and refine AI agents that integrate with professional services workflows and the ServiceNow platform.

This role focuses on designing, developing, and optimizing AI-powered autonomous implementation solutions using large language models (LLMs) to automate ServiceNow configurations, generate implementation artifacts, and accelerate time-to-deploy. The engineer will build and refine AI agents, lead prompt engineering efforts, and integrate these solutions with professional services go-to-market and delivery workflows.

Software Engineer on the Agentic AI Systems team, focusing on advancing the Moveworks AI Assistant platform. Responsibilities include agent orchestration, code execution, latency optimization, agent memory, LLM self-reflection, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products using ML, LLMs, and AI agents.

Senior Software Engineer on the Agentic AI Systems team, focusing on advancing the Moveworks AI Assistant platform. The role involves building and evolving capable AI agent systems, implementing and productionizing frontier AI algorithms, and optimizing for reliability and scale. Key areas include agent orchestration, execution environments, memory, self-reflection, and multimodal I/O, utilizing best-in-class LLMs.

Senior Delivery Acceleration AI Engineer responsible for designing, developing, and optimizing AI-powered autonomous implementation solutions for ServiceNow Expert Services. This role focuses on building and refining AI agents that automate ServiceNow configuration, generate implementation artifacts, and accelerate time-to-deploy. The engineer will work with LLM-based platforms to create, test, and refine AI-driven workflows for customer engagements, requiring expertise in prompt engineering, AI agent architecture, and understanding of enterprise professional services delivery.

Staff Software Engineer for the Agentic AI team at ServiceNow, focusing on building the foundational infrastructure for AI Agents. The role involves designing and developing agentic pipelines using Python and Java, covering agent reasoning, memory, orchestration, and evaluation at enterprise scale. It also includes contributing to research initiatives in agent learning and evaluation, and ensuring reliability and performance for LLMs and Agentic AI. Responsibilities include leading AI solution design, end-to-end delivery, prompt engineering, pipeline optimization, technical leadership, and championing observability and evaluation for AI systems.

Staff Machine Learning Engineer focused on expanding agentic AI capabilities, NLU, and generative AI for the Moveworks platform, which is now part of ServiceNow. The role involves applying compound AI system engineering, fine-tuning LLMs for tool use and enterprise reasoning, developing agent cognitive architectures, and ensuring responsible AI practices. It requires a strong understanding of ML fundamentals, LLMs, and productionizing solutions at scale, with a focus on both model performance and end-to-end system performance.

This role focuses on building and deploying production-ready, LLM-enabled applications for enterprise customers, acting as a full-stack engineer for AI solutions. It involves adapting, integrating, and iterating on AI-native software in live customer environments, codifying reusable assets, and influencing platform development.

Senior AI Agent Engineer focused on customer deployments, architecting and implementing AI solutions on the Moveworks Platform, integrating with enterprise systems, and advising customers on their Agentic AI roadmap. This is a customer-facing role requiring strong technical and communication skills.

This role is for a Sr. Software Engineer focused on the frontend/fullstack development of an AI-powered agentic assistant ecosystem. The engineer will design and implement AI-powered agent builder product features, expand product reach, architect web technology stacks, and promote best practices. The role involves working closely with product and ML teams to augment user experience and increase customer adoption within an enterprise GAI context.

Director of Impact Engineering at ServiceNow, leading a team of ~30 engineers focused on AI-assisted guidance, recommendations, and proactive insights for customer success. The role involves engineering leadership, architectural direction for AI experiences combining platform capabilities with retrieval and multi-step user experiences, and defining quality/evaluation criteria for AI applications. Requires experience shipping production AI/data-intensive applications and managing managers.

Machine Learning Engineer focused on Generative AI Search Platform to improve search-based question answering systems using traditional ML and generative AI. The role involves developing LLM-enabled generative AI features, building conversational search systems, and enhancing enterprise search experience. It also includes developing evaluation metrics and methodologies for search models, leveraging LLMs for enterprise challenges like security and privacy. The role works closely with product, ranking, and infrastructure teams to drive agentic search products.

This role involves a technical presales professional who will design and build proof-of-concept solutions showcasing AI, Data, and Workflow capabilities for customers. The role requires understanding customer challenges, leading workshops, iterating on solutions, and creating reusable components. It emphasizes technical depth, consultative expertise, and collaboration with product and engineering teams.

Senior/Staff ML Engineer for ServiceNow's GenAI Search Platform team, focusing on improving search-based question answering systems using traditional ML and generative AI. The role involves architecting abstractions, developing algorithm frameworks for conversational search, driving LLM-enabled features, and establishing evaluation metrics for enterprise search products. This is a technical leadership role within the Search Platform team, which works closely with ranking, product, infrastructure, and data science teams to advance agentic search capabilities.

Senior AI Agent Engineer role focused on end-to-end technical customer relationships for enterprise federal clients, architecting and implementing AI solutions on the Moveworks Platform. Involves solution design, integration, strategic advisory, and providing product feedback. Requires strong technical skills in API integration, LLM systems design, and customer-facing experience.

This role is for a Staff AI Agent Engineer at ServiceNow, focusing on customer deployments of the Moveworks Platform. The engineer will be responsible for the end-to-end technical relationship with enterprise customers, designing and implementing AI solutions, and acting as a trusted technical advisor. The role involves architecting AI solutions, integrating the platform with customer systems, and providing product feedback to internal engineering teams. It requires strong customer-facing skills, technical mastery in API-based systems integration and LLM-based systems design, and the ability to generalize successful solutions.

This role focuses on customer-facing technical relationships for an enterprise AI platform, architecting and implementing AI solutions, and advising customers on their Agentic AI roadmap. It involves integrating the platform with customer systems and providing feedback to internal engineering teams. The role requires strong technical skills in API-based systems, LLM design, prompt engineering, and context engineering.