Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You - You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - 8+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems - Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions For positions in this location, we offer a base pay of $166,500 to $291,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.  Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description About the Role You'll own the end-to-end technical relationship with enterprise customers, translating complex business challenges into high-impact AI solutions built on the Moveworks Platform. This is a customer-facing, field-based role — you'll be the primary technical point of contact throughout the full implementation lifecycle, from solution design through launch. You are equally comfortable whiteboarding with a customer's IT team in the morning and collaborating with internal engineering and product teams in the afternoon. This is not a back-office engineering role — you will be in front of customers regularly and are expected to travel up to 25% of the time. What You'll Own - Customer Technical Relationships: Serve as the primary technical owner across 5–8 enterprise customer engagements simultaneously, driving adoption and measurable outcomes across the full Moveworks implementation lifecycle. - Solution Design & Architecture: Partner with customers to architect and deliver high-impact AI solutions that solve real business challenges — leveraging the Moveworks Platform in innovative and meaningful ways. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You You are a technical generalist who genuinely enjoys working directly with customers. You thrive at the intersection of engineering, consulting, and customer success — and you're equally energized by solving a complex integration problem and presenting a solution narrative to a customer's executive team. - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications Required: - Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. - 5+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred: - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,500 customers to provide better digital experiences to more than 25+ million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. Nexthink helps IT teams delight people at work. Behind that promise sits a platform that takes in trillions of events a day from more than 15 million devices, running on a cell-based architecture that spans AWS regions around the world. The Core Infrastructure team builds and runs the AWS foundation that the whole of engineering depends on. The company has grown from on-prem to cloud and is now making room for new kinds of work, including AI and agent workloads, so there is plenty of genuinely interesting work to do on the layer underneath it all. #LI-Hybrid Job Description What you will do - Design, deploy, and run AWS infrastructure from end to end: from the edge and networking through to the multi-account cell architecture and the EKS platform. - Move between operational work, automation, requests from other engineering teams, and greenfield design, depending on what the platform needs that week. - Automate as much as sensibly possible: the infrastructure-as-code and GitOps that provision, upgrade, and keep the whole estate consistent and free of drift. - Work closely with the product and feature teams, turning what they need into self-service capabilities and helping them stay autonomous. - Keep the platform reliable, secure, and cost-effective: upgrades, autoscaling, observability, and security hardening and compliance (FedRAMP, FIPS). You will share the on-call rotation with the rest of the team. - Help the architecture grow: design new capabilities and take the platform to the next level of scale, resilience, and new kinds of workload. How we work A few things that are true about this team and, we think, make it a good place to build: - It is a team with real ownership. You look after your own areas and make the call on what is best for the platform, rather than working through a queue of tickets someone else has written. - We do not work in a silo. We spend a lot of time with the teams who build on us, including a good deal of design work together, so the platform grows around what people genuinely need. - The scale keeps it interesting. A cell-based setup across several regions on modern AWS tooling is a good deal more involved, and more rewarding, than a single-region estate. - We are improving something that already works. The platform is live and doing its job. Our task is to take it from good to really good, so the problems are about pushing things further rather than wiring up the basics. - Like everyone here we use AI tools day to day, and we are steadily moving the more repetitive operational work onto automation. We would rather have engineers than operators, and we do the automation carefully, because infrastructure is not somewhere to be careless. Qualifications Who you are This matters to us more than any single item on the list below. We are looking for someone who: - Works well on their own. You can join a call, understand what a team really needs, and come back with a sensible plan. You think about the problem rather than wait to be told what to do. - Communicates clearly and enjoys working with people. Requests come from a lot of directions, and you are comfortable with that. If you have done this in a smaller company or a lean team, that experience counts for a great deal here. - Is pragmatic and cares about quality. You know when something needs doing now and when it needs doing properly, and you can juggle a few things at once without dropping any of them. What you will bring The essentials - A solid cloud infrastructure background and good software-engineering habits, usually around 5+ years as a Platform, DevOps, Software, or Site Reliability Engineer. - A degree in Computer Science, Engineering or related field; or the equivalent in real experience. - Strong hands-on AWS across networking, edge, and compute (for example VPC, CloudFront, API Gateway, EKS). - Solid Kubernetes (ideally Amazon EKS) and infrastructure as code (Terraform or OpenTofu), with a GitOps mindset. - Comfortable moving between operational work, automation, requests from other teams, and new design, and prioritising sensibly across them. - A production mindset: you care about uptime, security, and efficiency. And you communicate clearly in English. Nice to have - Experience in or near a compliance-driven environment (FedRAMP or FIPS is a real plus). - Building self-service internal developer platforms with modern tooling. - Working with cell-based or multi-region architectures at scale. Additional Information Have a look at how Nexthink scales to trillions of events per day with Amazon MSK, powers real-time alerts with Amazon Managed Service for Apache Flink, and builds enterprise AI agents with fine-tuned LLMs on Amazon SageMaker. We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1200 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Health insurance through our partnership with Bajaj, including OPD coverage for dental, vision, health check-ups, consultations, and pharmacy expenses. - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 22 days of holidays we offer). Plus, company-paid bank holidays (12), sick days (10-30), bereavement leave (5), and 3 days per year for volunteering. - Free access to professional training platforms to explore your interests and enhance your skills. - Stay covered against accidents, bodily injuries, and disabilities with our personal accident insurance policy, providing assurance with coverage up to three times your annual CTC. - New mothers are entitled to up to 26 weeks of maternity leave, with the flexibility to use up to 8 weeks before the expected delivery and the remaining 18 weeks after. Birth fathers can take 6 weeks of paternity leave, while adoptive parents are eligible for 26 weeks of leave for mothers and 6 weeks for fathers. - Under the Payment of Gratuity Act, receive gratuity at the rate of 15 days of basic pay for every completed year of service, provided you've been employed by the company for a minimum of 5 years. Gratuity is payable at retirement or resignation based on your last drawn basic pay. - Bonuses for referring successful hires after three months of continuous employment. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

Role Description We are seeking a highly skilled Full Stack AI Engineer to design, develop, and deploy next-generation AI-powered enterprise applications. The ideal candidate will have strong experience in full-stack software development combined with expertise in Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs). You will work closely with product managers, architects, and business stakeholders to build intelligent applications that automate workflows, enhance productivity, and deliver exceptional user experiences. Key Responsibilities - Design, develop, and maintain scalable full-stack web applications. - Build AI-powered applications leveraging Large Language Models (LLMs) such as OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models. - Develop intelligent AI Agents capable of planning, reasoning, and executing multi-step tasks. - Design and implement Retrieval-Augmented Generation (RAG) architectures using enterprise data sources. - Integrate AI capabilities into existing Java, .NET, or Node.js enterprise applications. - Develop RESTful APIs and microservices using Python (FastAPI/Flask) or Node.js. - Build responsive frontend applications using React.js, Next.js, or Angular. - Implement vector search solutions using Pinecone, Weaviate, ChromaDB, Milvus, or FAISS. - Optimize prompts, embeddings, context retrieval, and AI workflows for accuracy and performance. - Integrate enterprise systems including Microsoft Graph, Salesforce, ServiceNow, Jira, SharePoint, and other SaaS platforms. - Develop secure, scalable cloud-native applications on AWS, Azure, or Google Cloud Platform. - Containerize applications using Docker and deploy through Kubernetes and CI/CD pipelines. - Monitor AI application performance, latency, token usage, and model quality. - Follow AI governance, responsible AI, and security best practices. Qualifications - Frontend: React.js / Next.js, TypeScript / JavaScript, HTML5, CSS3, Tailwind CSS / Material UI - Backend: Python (FastAPI, Flask, Django), Java (Spring Boot), or .NET Core (ASP.NET Core), or Node.js (Express/NestJS) - REST APIs, GraphQL (preferred) - Generative AI: OpenAI API, Anthropic Claude API, Google Gemini, Azure OpenAI - Prompt Engineering, Function Calling, Structured Outputs - AI Agent Development, Multi-Agent Systems, Model Context Protocol (MCP) - AI Frameworks: LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen (preferred), Semantic Kernel (preferred) - RAG & Search: Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone, Weaviate, Milvus, Chroma, FAISS) - Embeddings, Semantic Search - Databases: PostgreSQL, MySQL, SQL Server, MongoDB, Redis - Cloud & DevOps: AWS / Azure / GCP, Docker, Kubernetes, GitHub Actions, Azure DevOps, CI/CD Pipelines, Terraform (preferred) Preferred Qualifications - Experience building enterprise AI Copilots and AI Assistants. - Experience developing Agentic AI solutions. - Hands-on experience with Microsoft Copilot Studio or Azure AI Foundry. - Experience integrating Databricks, Snowflake, or Microsoft Fabric with AI applications. - Familiarity with AI observability tools such as LangSmith, Arize AI, or PromptLayer. - Knowledge of AI security, responsible AI, and model governance. - Experience working in Agile/Scrum environments.