National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

GenAI Architect - GenAI Customer Success

ServiceNow
London
7 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - C++

Senior Machine Learning Engineer - 3D

Machine Learning Engineer - C++

Machine Learning Engineer - C++

Principal MLOps/GenAI Infrastructure Engineer

Principal MLOps/GenAI Infrastructure Engineer

Job Description

What you get to do in this role: 

The GenAI Customer Success team will be responsible for developing, maintaining, and delivering a portfolio of AI Lighthouse engagements in partnership with Sales, Inspire Value, AI Solution Success, Product Success, Platform Outbound Product Management, and Expert Services. As a GenAI Architect, you will drive customer outcomes, roadmap, and value realization for GenAI technology within AI Lighthouse accounts through hands-on delivery of ServiceNow’s GenAI capabilities and technical advisory activities. You will also lead GenAI enablement programs and GenAI Impact accelerators for the broader Impact Delivery organization.  

  • Hands-on delivery of ServiceNow’s GenAI capabilities to customers 
  • Providing technical advice and guidance to customers on how to best utilize ServiceNow’s GenAI technologies to achieve their business objectives 
  • Collaborate with cross-functional teams, including sales, marketing, and product development, to ensure the successful deployment of ServiceNow’s GenAI solutions 
  • Lead GenAI enablement programs for the broader Impact Delivery organization 
  • Develop and deliver GenAI Impact Accelerators to drive customer outcomes and value realization 
  • Stay up-to-date with industry trends and emerging technologies in the field of GenAI, and apply this knowledge to continuously improve and evolve ServiceNow’s Impact GenAI accelerator offerings 
  • Contribute to thought leadership and point-of-view documents, white papers, knowledge base articles, and other documentation to make information about ServiceNow’s GenAI capabilities more accessible to the broader Impact Delivery organization, customers, and partners 
  • Creation of HealthScan Definitions to evaluate GenAI readiness and GenAI platform health 


Qualifications

 To be successful in this role you must have:  

  • 3+ years of ServiceNow Platform experience 
  • ServiceNow Certified System Administrator and other ServiceNow Certified Implementation Specialist certifications desired 
  • At least 5 years of experience in a technology advisory role, experience with a focus on Artificial Intelligence, Machine Learning, or Data Science is preferred 
  • Proven track record of driving business growth and customer satisfaction through innovative technology solutions 
  • Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences 
  • Strong analytical and problem-solving skills 
  • Ability to work effectively in a fast-paced, dynamic environment 
  • Familiarity with Agile methodologies and experience working in an Agile environment 
  • Strong problem-solving skills and ability to work independently or as part of a team 
  • Experience working with cross-functional teams, including data scientists, engineers, sales, and marketing professionals 
  • Strong industry connections and network, with the ability to leverage relationships to drive business growth and partnerships 
  • Customer-focused mindset and commitment to delivering high-quality results 
  • Must be able to travel up to 50% annually 
  • Right to work in country



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. Learn more here.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 contactfor 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. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.