Senior AI Solution Architect

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About the role

Position Overview: Join our pre-sales team of AI specialists as a Solution Architect, partnering with customers to co-create solutions and expand ServiceNow's presence in the market of Intelligent Automation and Generative AI. Key Responsibilities: • Drive Excellence: Foster knowledge, engagement, and interactions within the team, with customers, and in the field. • Strategic Alignment: Align direct opportunity engagement and skills with ServiceNow's strategic and enterprise accounts. • Problem Solving: Address business and technical problems using our suite of AI products, including considerations of key regulations, business drivers, evolving business needs, and security. • Subject Expert Representation: Act as a speaker at marketing events such as user conferences, trade shows, and webinars. • Collaboration: Work with the sales and marketing leadership to build sales assets that will drive the ServiceNow AI pipeline in our customer base. • Sales Support: Partner with the sales team to support, drive, and close AI opportunities. • Demonstrations: Provide demonstrations of ServiceNow's AI-powered solutions, both standard and tailored to prospects and existing customers, on-site and via virtual meetings. • Proof-of-Concept: Scope and deliver proof-of-concept and value engagements with prospects. • Industry Trends: Stay up-to-date with industry trends and advancements in AI to ensure the solutions provided are cutting-edge and competitive. • Product Training: Conduct enablement sessions for field Solution Consultants and Account teams to enhance their understanding and use cases of ServiceNow AI products. • Innovation: Foster a culture of innovation by encouraging new ideas and approaches to solving customer problems using AI. To be successful in this role, you should have: • Experience: 10+ years in presales or consulting with direct customer engagement in enterprise software environments. • AI Expertise: 3+ years of technical experience selling AI models, deep learning models, and large language models, with a focus on Generative AI. • Communication Skills: Strong presentation skills, with the ability to explain AI concepts clearly and logically to both technical and non-technical audiences. • Strategic Understanding: Ability to see the bigger picture and understand the business drivers behind AI and automation technologies. • Technical Proficiency: Development experience using cloud-based AI platforms. Knowledge of NVIDIA LLMs and Microsoft Azure is valued, as are Python skills. Experience with large relational and NoSQL data stores, and with transformation techniques that make data consumable by AI models. • Certifications: Certification in a major AI platform (e.g. Microsoft Azure OpenAI). Experience with LLMOps is valued. • Product Knowledge: Experience with ServiceNow Predictive Intelligence, Task Intelligence, AI Search, and Virtual Agent is highly valued. • Travel: Ability to travel up to 50% of the time to support technical sales activities. Additional Relevant Experience: • Industry Experience: Experience in a fast-growing technology company, such as software, cloud, or customer experience. • Sales Expertise: Experience in value-based selling or solution selling. • Sales Process Understanding: Strong understanding of the sales process, with the ability to act as a trusted advisor to Specialist Sales, account management, and the extended sales organisation. 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 c

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