Solution Architect - AI & Data

Stack

Responsibilities

• ▹Lead enterprise AI transformation engagements from opportunity identification and business case development through operating model design and value realization
• ▹Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps
• ▹Facilitate discovery workshops, current-state assessments, and future-state visioning sessions
• ▹Define AI-enabled target operating models, including process redesign, workforce impact analysis, and governance structures
• ▹Design end-to-end solution architectures spanning Now Assist, AI Agents, Agentic workflows, AI Control Tower, RAG, knowledge graphs, and A2A/MCP integrations
• ▹Lead scoping and solutioning for complex, multi-workload AI engagements
• ▹Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards
• ▹Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, use-case catalogs
• ▹Architect enterprise data catalog strategies, aligning metadata management, data lineage, and governance structures to AI and business objectives
• ▹Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments
• ▹Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance
• ▹Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programs, and change communications
• ▹Define adoption KPIs and value realization metrics; track and report outcomes
• ▹Build and maintain industry-specific AI advisory playbooks and frameworks
• ▹Act as a thought leader: contribute to white papers, reference architectures, best-practice guides, and represent the organization at AI forums
• ▹Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers

Requirements

• ▹10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a focus on AI, Machine Learning, or digital transformation at enterprise scale
• ▹Experience facilitating executive AI strategy engagements — visioning workshops, maturity assessments, transformation roadmap sessions
• ▹Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements
• ▹Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance frameworks
• ▹Demonstrated ability to architect enterprise data catalog and metadata management strategies
• ▹Excellent communication and interpersonal skills — articulating technical and business value to C-level executives
• ▹Ability to work in fast-paced, dynamic environments and tailor deliverables to different customer maturity levels
• ▹Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL)
• ▹Broad familiarity with the ServiceNow platform and its main modules (e.g., ITSM, CSM, FSM, HRSD)

Soft skills

About the company

ServiceNow's Customer Excellence Group works with customers to help them achieve business outcomes through prescriptive guidance and drive value from their ServiceNow investment. The Expert Services AI Practice is part of this group, leading enterprise AI transformation engagements.