ServiceNow

This role focuses on building and optimizing scalable ML infrastructure for training, evaluation, and deployment of LLMs, including distributed training and inference pipelines, LLM latency optimization, and model evaluation/monitoring frameworks. The goal is to support the company's Agentic AI platform and its production models.

Engineering Manager for Machine Learning Infrastructure at Moveworks (acquired by ServiceNow), focusing on building and scaling the end-to-end ML/LLM lifecycle platform, including distributed training, inference, and evaluation frameworks. The role involves leading a team, defining technical vision, optimizing GPU infrastructure, and partnering with other teams to power agentic AI experiences.

ServiceNow is seeking a Forward Deployed Solution Architect (FDE) for their Applied AI team. This role partners with strategic customers to identify high-value opportunities, architect AI-powered systems using LLMs, RAG, and orchestration, and guide their scaling across the Now Platform. The FDE collaborates with engineers to build and iterate solutions, codifies best practices, and influences product strategy based on field insights. The goal is to deliver validated AI solutions that address business-critical problems and become the foundation for scaled production deployments.

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.

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.

ServiceNow is seeking a Forward Deployed Engineering Build Manager to lead cross-functional teams in building and delivering AI-native solutions for enterprise customers. This role involves managing the full lifecycle of AI software development builds, from conception to delivery, ensuring customer satisfaction and driving adoption of AI within the Now Platform. The ideal candidate has extensive project/program management experience, a strong understanding of SDLC, and proven success in deploying AI solutions at scale.

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.

Director of Platform Engineering to lead Veza's core platform organization, focusing on the Access Graph, integrations ecosystem, and data pipeline infrastructure. This role involves setting technical vision, driving execution across multiple teams, and ensuring the platform is built for enterprise-grade scalability, reliability, security, and observability, with a focus on AI-native architecture and graph-native capabilities.

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.

Manager of Machine Learning Engineering at ServiceNow, focusing on building AI/ML solutions for enterprise services to transform user experience and workflow efficiency. The role involves collaborating with cross-functional teams, owning code from design to delivery, and creating large-scale data processing pipelines. Requires management experience, proficiency in Java or Python, and knowledge of core AI/ML techniques.

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 Technical Program Manager for ServiceNow's Applied AI Forward Deployed Engineering team. This role partners with strategic customers to build and deliver intelligent, scalable AI solutions that solve mission-critical challenges, focusing on accelerating business outcomes and transforming 1-off wins into repeatable success. The TPM will manage the SDLC for these AI builds, drive cross-functional teams, and ensure successful delivery of AI solutions to production.

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 improving a search-based question answering platform by enhancing relevance metrics, developing algorithm frameworks for ranking features, designing platforms for experiments, and creating metrics for performance evaluation. It involves leveraging information retrieval and natural language understanding techniques to address challenges like lexical gaps and data sparsity in enterprise search.

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.

Senior Data Scientist role focused on defining and governing critical product metrics, applying statistical and machine learning techniques to drive product initiatives, and analyzing engineering system performance. The role involves leading the design and development of scalable analytical systems, driving AI-native integrations, and providing technical mentorship. Key responsibilities include LLM evaluation methodology, building evaluation pipelines for agentic/LLM systems, and working with conversational analytics and AI-assisted data exploration tooling.