The Senior Advisory AI Foundry Architect role at ServiceNow is focused on designing and implementing enterprise AI solutions using the ServiceNow AI Platform. This position requires deep expertise in AI/ML technologies, enterprise architecture, and the ServiceNow platform to help customers leverage AI capabilities across their workflows and business processes.

As a Senior Advisory AI Foundry Architect, you will work with customers to understand their business challenges and design innovative AI-powered solutions that drive transformation. You'll serve as a trusted advisor, helping organizations adopt AI technologies and maximize the value of their ServiceNow investments.

Key Responsibilities:

• Design and architect enterprise AI solutions on the ServiceNow AI Platform
• Lead customer engagements to understand business requirements and translate them into technical solutions
• Provide thought leadership on AI/ML best practices and ServiceNow platform capabilities
• Collaborate with cross-functional teams including sales, product, and engineering
• Develop architectural frameworks and reference architectures for AI implementations
• Guide customers through AI adoption journeys and digital transformation initiatives
• Stay current with emerging AI technologies and ServiceNow platform innovations
• Mentor junior architects and contribute to the broader technical community

Required Qualifications:

• 8+ years of experience in enterprise architecture and solution design
• Strong background in AI/ML technologies and their enterprise applications
• Deep understanding of the ServiceNow platform and its capabilities
• Experience designing and implementing large-scale enterprise solutions
• Excellent communication and presentation skills
• Ability to engage with C-level executives and technical stakeholders
• Strong problem-solving and analytical skills
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

Preferred Qualifications:

• ServiceNow certifications (CIS, CTA, or similar)
• Experience with AI platforms and frameworks
• Knowledge of cloud architectures (AWS, Azure, GCP)
• Experience in consulting or customer-facing roles
• Understanding of governance, risk, and compliance in AI implementations