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Snow Planet

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5.0

based on 1 Review

85 Snow Planet Jobs

GenAI Architect

Service Now Planet

5.0

based on 1 Review

5-11 years

Mumbai

1 vacancy

GenAI Architect

Snow Planet

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Architecting Machine Learning Legal Advisory Analytical Chemistry Big Data Interpersonal Skills

+ 2 more

Job Description

The Team

The Customer Outcomes team at ServiceNow works with customers to help them achieve their business outcomes by providing guidance. As part of the Customer Outcomes team, you will work with our customers to drive consumption, adoption, and customer satisfaction and ultimately help our customers grow their business on the ServiceNow platform by getting them to see the value of their ServiceNow investment.

What you get to do in this role

As a GenAI Architect , you will drive customer outcomes, roadmap, and value realization for GenAI technology through hands-on delivery of ServiceNow s GenAI capabilities and technical advisory activities.

Lead complex, multi-disciplinary projects acting as an SME to solve complex customer issues related to AI solutions.
Provide technical advice and guidance to customers on how to best utilize ServiceNow technologies to achieve their business objectives.
Hands-on delivery of ServiceNow capabilities to customers to drive outcomes and value realization.
Collaborate with cross-functional teams, including sales, marketing, and product development, to ensure the successful deployment of ServiceNow Now Assist.
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 GenAI offerings
Contribute to thought leadership and point-of-view documents, white papers, knowledge base articles, and other documentation to make information about ServiceNow GenAI capabilities more accessible to the broader organization, customers, and partners

To be successful in this role, we need someone who has

At least 5 years of experience in a technology advisory role, experience working directly with AI, machine learning technologies, statistical systems, or big data pl

Employment Type: Full Time, Permanent

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