GenAI Architect - GenAI Customer Success

ServiceNow
London
1 year ago
Applications closed

Related Jobs

View all jobs

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Enterprise AI Solution Architect — GenAI & MLOps Lead

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. 

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.