ServiceNow Solution Architect

About the role

Provide technical advice and guidance to early adopter customers on utilizing ServiceNow's Gold Standard Implementation Packages to reduce time-to-first-use. Collaborate with cross-functional teams to prioritize, design, productize, and pilot ServiceNow's AI-first implementation and adoption capabilities.

Responsibilities

• Stay up-to-date with industry trends and emerging technologies in GenAI and AI Agents.
• Contribute to thought leadership and documentation to make information about ServiceNow's AI-first implementation & adoption capabilities more accessible.
• Aid the Enablement team and Partner team with Enablement and Training material.
• Co-drive pilots with ServiceNow's early adopter customers (enterprise clients and Systems Integrators).

Requirements

• 6+ years of ServiceNow product/solution architecture (AI/ML experience on the ServiceNow Platform is preferred).
• ServiceNow Certified System Administrator and other ServiceNow Certified Implementation Specialist certifications (ITSM, HRSD, or CSM) are preferred.
• ServiceNow Certified Technical Architect or ServiceNow Certified Master Architect certifications are preferred.
• At least 5 years of experience in a technology advisory or enterprise implementation role, with a focus on Artificial Intelligence, Machine Learning, or Data Science.
• Proven track record of driving customer satisfaction through innovative technology solutions on the ServiceNow platform.
• Excellent communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical audiences.
• Strong analytical and creative 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.
• 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.

Qualifications

• Experience putting ServiceNow enterprise implementations and deployments into production is a must-have.

Skills

• Technical expertise in ServiceNow platform, especially in AI/ML.
• Strong understanding of AI/ML principles and their application in enterprise environments.
• Excellent communication and presentation skills.
• Collaborative and team-oriented approach.

Benefits

• Remote work option.

Pay

TBD

Schedule

TBD

Benefits

• Remote work option.