ServiceNow

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.

This role is for a Sr. Enterprise Account Executive at ServiceNow, a company that provides AI-enhanced technology to over 8,100 customers. The primary focus is on generating new business sales revenue through SaaS licenses by developing C-suite relationships, account planning, and advising customers on how ServiceNow can support their IT roadmap. While the role involves leveraging AI tools and understanding AI's impact, it is not a hands-on AI/ML development or research position.

This role is for a Sr. Commercial Account Executive at ServiceNow, focusing on selling software licenses for their AI platform to mid-market clients in Florida. The role involves developing sales strategies, identifying and qualifying prospects, conducting product demonstrations, and managing existing accounts to drive new business revenue. While the company heavily emphasizes its AI capabilities and requires candidates to have experience integrating AI into work processes, the core function of this role is sales, not direct AI/ML development or research.

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.

This role is a Senior Solution Sales Executive for ServiceNow's Platform, Data & AI offerings, specifically targeting the Public Sector in Germany. The primary focus is on driving sales by developing and positioning AI-enhanced solutions that deliver business outcomes for customers. The role involves engaging with C-suite executives, collaborating with internal teams, and acting as a trusted advisor on data and AI strategies.

This role is a Director of Monetization Strategy for ServiceNow, focusing on how the company prices and commercializes its AI-enhanced products. The position involves driving strategic initiatives, bridging product pricing and deal desk teams, and ensuring monetization strategies align with the corporate roadmap. It requires influencing senior executives and understanding how AI can be integrated into business processes and decision-making. The role is strategic rather than operational or analytical, aiming to shape the company's growth through effective monetization.

This role is for a Sr. Solution Consultant supporting sales for ServiceNow's Employee Experience, Customer Workflow, and ITX solutions. The consultant will act as a technical and domain expert, leading discovery workshops, giving product demonstrations, and providing feedback to product management. While the role involves integrating AI into work processes, it is not a core AI/ML development role.

This role is for a Senior Platform Architect at ServiceNow, focusing on advising customers on technical foundations and designing solutions using the ServiceNow platform. While the company leverages AI-enhanced technology and the role requires experience in integrating AI into work processes, the core responsibilities are platform architecture, technical governance, and solution design, rather than direct AI/ML model development or research. The role is customer-facing and consultative, aiming to ensure successful implementation and long-term success of ServiceNow solutions for clients.

This role is a Sr. Advisory AI Foundry Engineer within ServiceNow's Solution Consulting team, focusing on supporting sales cycles for AI-related products. The role involves technical consulting, solution positioning, and guiding strategic programs to align ServiceNow's AI solutions with customer needs. While the company is AI-focused and the role involves understanding AI integration, the core responsibilities are in sales support and technical consulting rather than direct AI/ML model development or research.

Customer Success Executive responsible for strategic leadership and post-sales activities for enterprise clients, driving long-term value by accelerating customer success, ensuring renewals, and maximizing the impact of ServiceNow's AI-enhanced platform. The role involves partnering with C-level executives, guiding business transformation, and collaborating with internal teams and partners.

Customer Success Executive responsible for driving post-sales activities and customer transformation within enterprise accounts, focusing on accelerating customer success, ensuring renewals, and maximizing the impact of ServiceNow's AI-enhanced platform. Requires strong strategic advisory, C-level engagement, and experience with SaaS transformation.

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.

Executive Administrative Assistant to support multiple executives in the MarCom organization at ServiceNow, a global market leader in AI-enhanced technology. The role involves managing complex calendars, coordinating meetings and travel, handling financial administration, and providing strategic project and onboarding support. The ideal candidate will have experience leveraging AI tools to work smarter and be proactive in anticipating needs.

Executive Administrative Assistant to support multiple executives in the MarCom organization at ServiceNow, a global market leader in AI-enhanced technology. The role involves managing complex calendars, coordinating meetings and travel, handling financial administration, and providing strategic project and onboarding support. A key aspect is actively leveraging AI tools to enhance work processes and efficiency.

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.

Program Director to lead large-scale, complex programs, focusing on strategic oversight, governance, and stakeholder engagement for AI-enhanced technology delivery. The role involves championing AI-driven methodologies and enabling customers to adopt AI and automation solutions.

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.