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.

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.

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.

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.

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.

This role focuses on consulting and advising senior stakeholders on how to leverage the ServiceNow platform, including its AI capabilities, to optimize operations. The Principal Workflow Architect will design end-to-end solutions, drive process improvements, and ensure alignment with business needs, with a strong emphasis on service management, customer service, and automation. The role requires experience in integrating AI into work processes and a deep understanding of the ServiceNow platform.

This role is for a CRM Architect at ServiceNow, focusing on designing and implementing end-to-end solutions for enterprise customers. The role involves understanding customer needs, leveraging ServiceNow Industry Solutions, and driving process improvements. While the company uses AI-enhanced technology and the role requires thinking about integrating AI into work processes, the core function is CRM architecture and implementation, not direct AI/ML model development.

This role is for a CRM Architect at ServiceNow, focusing on designing and implementing end-to-end CRM solutions for enterprise customers. The role involves consulting with senior stakeholders, designing solutions using ServiceNow Industry products, improving processes, collaborating cross-functionally, and staying updated on industry trends. While the company uses AI-enhanced technology and the role requires thinking about integrating AI into work processes, the core function is CRM architecture and implementation, not direct AI/ML model development.

This role is for a CRM Architect at ServiceNow, focusing on designing and implementing end-to-end CRM solutions for enterprise customers. The role involves consulting with senior stakeholders, understanding business needs, leveraging industry best practices, and collaborating across teams to optimize operations and drive value through the ServiceNow platform. While the role mentions leveraging AI and integrating it into work processes, its core function is CRM architecture and solution design, not direct AI/ML model development.

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.

The role is for a Senior Software Engineer focused on building the runtime infrastructure for AI agents, specifically the orchestration engine, distributed session management, event-driven message pipeline, structured concurrency, and observability infrastructure. While the company's product is an Agentic AI Assistant platform powered by LLMs, this specific role is described as a distributed systems engineering role, not an ML role, focusing on the systems that enable AI agents to plan, execute workflows, and interact with users and tools.

This role is for a Principal Platform Architect at ServiceNow, focusing on their Financial Services customers. The primary responsibility is to guide customers in architecting, maturing, and governing scalable solutions on the ServiceNow platform, with a focus on AI and digital transformation initiatives. The role involves developing customer relationships, translating business goals into architectural roadmaps, ensuring platform health, and evaluating new ServiceNow capabilities including AI, agentic automation, and LLM integrations. While the role involves understanding and recommending AI capabilities, it is not a hands-on AI/ML development role, but rather an architectural and consultative position within an enterprise AI context.

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.

Staff Data Platform Software Engineer role at ServiceNow (Veza) focused on designing, improving, and maintaining the backend services and APIs for the Veza Access Graph platform, which maps an organization's identity ecosystem. The role involves data modeling, data management, and ensuring performance, scalability, and reliability of the platform, with a focus on identity security and access management.

Program Manager to lead complex ServiceNow implementation programs, leveraging AI-native tools and platform capabilities to accelerate business outcomes and support customer transformation initiatives. Role focuses on delivery excellence, stakeholder management, and driving value realization for enterprise clients.

This role is a Senior Technical Support Engineer for the ServiceNow Platform, focusing on resolving customer technical issues and providing input for product improvements. While the company uses AI-enhanced technology and the role requires thinking about AI integration, the core responsibilities are customer support and technical troubleshooting of the platform, not direct AI/ML model development or deployment.

This role is for a Staff Technical Support Engineer at ServiceNow, a company that provides AI-enhanced technology to over 8,100 customers. The engineer will act as a technical resource to guide customers through critical issues, resolve technical cases, and troubleshoot unexpected behaviors or technical questions about the ServiceNow software and platform. The role requires advanced understanding of Java and SQL, experience in customer-facing technical support, and the ability to leverage or critically think about integrating AI into work processes. The engineer will also mentor junior members and provide input on product improvements.

This role focuses on designing and architecting end-to-end solutions using ServiceNow Industry products, with a strong emphasis on service management, customer service, automation, and user experience. The Principal Workflow Architect will consult with senior stakeholders, drive process improvements, and ensure solutions align with business needs and industry best practices. While the role involves leveraging AI-powered tools and understanding AI's potential impact, it is not primarily focused on building AI models or core AI infrastructure.

This role is for a Principal Workflow Architect on the ServiceNow Platform team, focusing on designing and configuring complex solutions and architectures. The role involves acting as a technical liaison, leading customer workshops, defining technical solutions, performing hands-on development on the ServiceNow platform, and serving as an escalation point for technical issues. A key aspect is leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving, and potentially working with ServiceNow NowAssist products.

This role is for a Senior Technical Consultant on the ServiceNow Platform, focusing on federal engagements. The consultant will be responsible for platform solutions, technical architecture, process design, and advising customers on leveraging ServiceNow capabilities. A key aspect involves understanding and integrating AI into work processes, decision-making, and problem-solving, including using AI-powered tools and analyzing AI-driven insights. The role requires strong technical configuration and development experience, integration skills, and experience with ServiceNow security and domain separation. An active TS/SCI with Full Scope Polygraph clearance is mandatory.

ServiceNow is seeking a Pre-Sales Security Solution Consultant to provide expertise and thought leadership to customers during sales engagements, focusing on their Security and Risk solutions. The role involves understanding customer needs, demonstrating ServiceNow's capabilities, and collaborating with internal teams to drive customer success in the Korean market. A key aspect is leveraging and critically thinking about how to integrate AI into work processes and security operations.

This role configures ServiceNow Platform solutions to achieve customer outcomes, with a focus on ITOM. It involves understanding and integrating AI into work processes, analyzing AI-driven insights, and providing feedback to product development. The role requires experience in professional services, infrastructure visualization, and a proactive learning mindset.

This role involves configuring ServiceNow Platform solutions to achieve customer outcomes, acting as a functional and technical expert. It requires assessing current processes, designing and delivering solutions, providing oversight for code development, advising customers on platform capabilities, guiding documentation, and providing product feedback. A key requirement is experience in leveraging or critically thinking about integrating AI into work processes, decision-making, or problem-solving.

This role is for a Senior Principal Solution Architect at ServiceNow, focusing on implementing ServiceNow Workflow Solutions for customers. The role involves pre-sales support, solution design, customer engagement, and advocating for customer needs. While the role requires understanding of AI models and Generative AI, and involves working with AI-enhanced platforms and features like AI Search and Virtual Agent, the core function is solution architecture and implementation within the ServiceNow ecosystem, rather than direct AI/ML model development or research. The primary output is customer success and platform adoption, making it an enterprise AI application role.