We are looking for a Senior AI Implementation Engineer to join our AI Solution Success team. The ideal candidate will have experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. You will implement AI products on the Now platform for our early adopter customers and debug and find quick workarounds for issues that are solvable on customer instances.
Requirements
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- Technical Skills: Experience and fluency with ServiceNow Workflows and Flow Designer, Expertise with ServiceNow scripting (Glide JavaScript), Good command of Now Platform building blocks like forms, tables, app development, update sets, instance upgrades, and provisioning.
- Analytical Skills: Understand Customer data by using analytical tooling and identify top issues that need to be automated, Understand the use cases from customers and chalk out a logical and technical solution to address the objective.
- Communication Skills: Strong customer-facing communication skills with sharp analytical skills to clearly identify the root cause of issues in products, Identify product improvement opportunities, initiate discussions with internal teams, and carry forward the initiatives to completion.
- Soft Skills: Strong communication skills, both written and verbal, with a focus on active listening and effective contribution, The capability to influence and provide consultation by presenting various options with their respective advantages, disadvantages, and associated risks.
Benefits
- Opportunity to work with cutting-edge innovations that drive business growth, Collaborative and global team, Opportunity to work with early adopter customers to validate AI solutions and realize value by learning and quickly improving the solution on real customer data.
- Work with seasoned professionals and cross-functional SMEs from Platform and AI Technology, Business Units, Customer Outcomes, and multiple customer-focused teams of ML, SW, and QE engineers that bring varied perspectives and diverse expertise to drive customer adoption of AI experiences, as well as guide customer-driven innovation within the Platform Product team.
- Empower and support partners by providing validated frameworks and tools that accelerate AI solution deployments and ensure partner readiness, Develop acceleration bundles and validate them with partners and customers to drive AI adoption, providing clear implementation guidance and best practices for scalable, efficient deployments.
- Work with early adopter customers to validate AI solutions and realize value by learning and quickly improving the solution on real customer data, Create practical implementation acceleration bundles to support new implementations, boost adoption, and drive future product innovation.