ServiceNow Solution Architect

Job Title : ServiceNow Solution Architect

Location : Santa Clara, CA- Hybrid

Duration : Long-Term Contract

Job Description :

We are seeking a ServiceNow Solution Architect to design and deliver scalable, enterprise-grade learning and customer experience solutions. The ideal candidate has strong experience in enterprise solution architecture , workflow automation , and ServiceNow platform engineering .

Responsibilities :

Architect end-to-end solutions for ServiceNow University products, enabling AI-powered learning workflows and connected experiences.

Define solution blueprints integrating data, workflows, AI / ML capabilities, and third-party systems.

Collaborate with product managers , engineering teams , and solution architects to ensure technical alignment and reuse of common patterns.

Design extensible APIs , integration frameworks , and automation workflows .

Translate business requirements into scalable technical architecture and implementation plans .

Ensure data security, consistency, and compliance across ServiceNow platforms.

Lead architecture reviews , guiding teams on scalability, performance, and design trade-offs.

Provide technical guidance and influence product direction through user-centric architectural insights .

Required Skills & Experience :

12+ years of experience in enterprise architecture , platform engineering , or application design .

Proven experience in architecting customer experience and workflow automation solutions.

Strong understanding of ServiceNow platform architecture , modules, and integrations.

Hands-on experience with integration patterns , REST / SOAP APIs , and event-driven architecture .

Familiarity with data platforms , reporting , and analytics in a customer success context.

Excellent communication and collaboration skills; ability to influence cross-functional teams.

Preferred Qualifications :

Experience with ServiceNow University or similar ServiceNow implementations.

Background in SaaS platforms , enterprise workflows , or customer service systems .

Exposure to AI / ML-powered applications (chatbots, recommendations, intelligent routing).

Knowledge of microservices , API-first design , and modular architecture principles .

Experience working in global, matrixed organizations .