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.

Product Manager for ServiceNow's Agentic AI Platform (Moveworks Business Unit), focusing on Agent Studio. This role involves driving product development from concept to launch, defining core technologies, developer interfaces, and end-user experiences for AI agents. The PM will partner with ML and platform engineers, understand AI research, and shape the developer ecosystem. The role requires strong technical depth, data-driven decision-making, and excellent written communication.

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.

Product Manager for ServiceNow's Workforce Engagement Management (WEM) within CRM Contact Center Omni-Channel. This role focuses on defining and delivering AI-driven forecasting, scheduling, real-time monitoring, coaching, and performance management capabilities. It requires strong product judgment in applying AI, ensuring transparency, explainability, and human-in-the-loop controls, while also engaging with enterprise customers to drive adoption and business outcomes.

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.

Product Manager for ServiceNow's Workforce Engagement Management (WEM) in CRM contact centers, focusing on AI-driven forecasting, scheduling, real-time monitoring, coaching, and performance management. The role involves defining product strategy, partnering with engineering and AI teams, and ensuring AI solutions are transparent, explainable, and have human-in-the-loop controls.

This role is a Senior Advisory Solution Consultant focused on ServiceNow's Platform, Data & AI offerings. The primary responsibility is to act as a technical and solution expert, partnering with sales to drive business outcomes for enterprise customers by architecting, positioning, and delivering advanced AI and Data solutions. This involves understanding customer challenges, co-creating solution visions, designing solution experiences, serving as a subject matter expert throughout the sales process, and translating complex AI capabilities into executive-ready narratives. The role requires hands-on experience with GenAI, LLMs, RAG pipelines, and Vector Databases, and a strong understanding of data fabric architectures to support an AI-first strategy, with a focus on data-driven Agentic AI business solutions.

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.

Staff Product Manager to lead product vision and strategy for Veza's integrations with enterprise software ecosystems, focusing on identity security, non-human identities, and AI agent visibility and management. This role involves defining integration strategy, owning the roadmap for APIs and connectors, and collaborating with engineering, design, and GTM teams to scale integrations.

Senior Staff Machine Learning Engineer role focused on designing, developing, and implementing VoIP infrastructure and AI-driven voice workloads. This role involves integrating LLMs into real-time communication systems, prompt engineering, and contributing to the AI platform and AI-powered work experiences. The engineer will collaborate with various teams to ensure performance, scalability, and seamless integration of voice and AI platforms.

Staff Machine Learning Engineer focused on VoIP infrastructure to power AI-driven voice workloads. This role involves designing, developing, and implementing telephony platforms and observability features, collaborating with engineering and product teams, and contributing to SRE practices. The engineer will build scalable code, own features from design to delivery, and integrate LLMs into real-time communication systems, acting as a mentor.

Senior Staff Software Engineer, UI Lead for the AI Agents team. This role focuses on leading frontend architecture and standards for an established UI platform, while also contributing to backend platform engineering. The goal is to mature the platform, improve developer experience, and build reusable components and frameworks for AI agent creation and automation.

Senior Staff Software Engineer, UI Lead for ServiceNow's AI Agents team. This role focuses on leading frontend architecture and practices for a production-scale UI platform that enables customers to design and deploy intelligent agents. It also involves backend platform engineering for AI agent services. The role requires experience in integrating AI into work processes and building AI/ML-enabled products.

Senior Staff Software Engineer (Tech Lead) for Veza's Integrations team, focusing on building and maintaining product features for their IAM platform. The role involves designing and developing integrations with various services and resources, leading backend engineers, driving technical direction, and leveraging AI/ML models for integrations. The team ingests data from external sources into the Veza platform and enables other engineering teams to consume this data.

Product Manager for ServiceNow's Agentic AI platform, focusing on enabling partners and customers to configure and manage the AI assistant. The role involves driving product development from concept to launch, creating product specs, shaping the partner ecosystem, and working with global partners to ensure customer value delivery.

Product Manager for an Agentic AI platform focused on enterprise search and integrations. The role involves driving product strategy, technical implementation, and global rollout for enterprise search, working with developers of 3rd party applications to understand content, APIs, and auth mechanisms. Responsibilities include creating product specs, supporting cross-functional teams, ensuring designer understanding of problems, and assisting deployment teams. Requires experience launching SaaS products, building integrations with large-scale systems, deconstructing complex problems, strong writing skills, familiarity with APIs/authentication, and experience with enterprise products requiring 3rd party integrations.

This role focuses on embedding with the Treasury Cash team to learn processes and design/build AI-assisted workflows using tools like Claude and the ServiceNow platform to automate recurring tasks. It also involves optimizing treasury technology, assisting with M&A integration, and performing standard cash operations, with an emphasis on using AI tools for streamlining complex activities.