ServiceNow · 3 days ago
Solution Architect - AI & Data
United States
Full-time
Remote
Lead/Staff
10+ years expServiceNow is a global market leader in innovative AI-enhanced technology, seeking a Solution Architect - AI & Data to reshape how enterprise organizations adopt AI. This role involves leading AI transformation engagements, advising C-suite stakeholders, and designing end-to-end solution architectures to drive customer success.
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Responsibilities
Lead enterprise AI transformation engagements — from opportunity identification and business case development through to operating model design and value realization
Advise C-suite and senior stakeholders on AI strategy, prioritization frameworks, and transformation roadmaps tailored to their industry, maturity, and risk appetite
Facilitate discovery workshops, current-state assessments, and future-state visioning sessions to establish a shared transformation agenda
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 enterprise integrations (A2A, MCP)
Lead scoping and solutioning for complex, multi-workload AI engagements — ensuring architectural integrity, scalability, and alignment to customer outcomes
Provide hands-on architecture leadership during pilot and early-phase delivery, establishing patterns and standards for broader team execution
Develop reusable practice IP: reference architectures, deployment patterns, transformation playbooks, and verticalized use-case catalogs
Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business objectives
Define integration patterns and architectural standards for connecting data catalog solutions across heterogeneous enterprise environments — cloud platforms, data warehouses, BI layers, and ServiceNow workflows
Lead the architectural design of enterprise data catalog programs — defining scope, platform selection criteria, governance operating models, and phased adoption roadmaps
Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases
Shape data architecture principles and standards that underpin AI readiness — including data lineage, metadata quality, classification taxonomies, and access governance
Translate complex data architecture requirements into clear, actionable designs that can be executed by delivery and technical teams
Define success metrics and maturity benchmarks for data catalog programs, enabling customers to track progress and demonstrate value to executive stakeholders
Define and embed AI governance frameworks covering data stewardship, model risk, bias controls, audit trails, and compliance postures
Support customers in operationalize responsible AI practices aligned to regulatory requirements and internal policies
Establish data governance frameworks that position metadata management, data stewardship, and knowledge graph capabilities as foundational trust layers for enterprise AI programs
Guide customers in regulated industries on aligning data catalog and governance architectures to compliance and regulatory obligations, embedding controls into the design rather than as an afterthought
Partner with AI Control Tower to establish monitoring, observability, and continuous optimization capabilities post-deployment
Lead AI adoption strategies including readiness assessments, stakeholder engagement plans, AI literacy programmers, and change communications
Define adoption KPIs and value realization metrics; track and report outcomes; provide consultative guidance for continuous optimization and expansion
Coach customer teams to build internal AI capability, reducing dependency and accelerating long-term self-sufficiency
Monitor adoption, usage, and value realization metrics post-deployment; provide recommendations for risk mitigation and growth
Collaborate cross-functionally with Sales, Solution Consulting, Customer Success, Platform, and Product teams to embed AI advisory across the customer lifecycle
Build and maintain industry-specific AI advisory playbooks and frameworks — verticalized use-case catalogs, value models, governance templates, and deployment patterns — to support scalable, repeatable delivery
Act as a thought-leader internally and externally: contribute to white papers, points-of-view, reference architectures, best-practice guides, and represent the organization at AI forums and customer briefings
Support pre-sales by qualifying opportunities, shaping proposals, and presenting transformation vision to executive buyers
Qualification
Required
Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
10+ years of experience in management consulting, enterprise architecture, or a senior technology advisory role, with a demonstrated focus on Artificial Intelligence, Machine Learning, or digital transformation at enterprise scale
Experience facilitating executive AI strategy engagements — including visioning workshops, maturity assessments, and transformation roadmap sessions — where the output is a customer-owned AI narrative, not just a delivery plan
Proven track record designing and managing complex, multi-stakeholder AI or digital-transformation engagements — including use-case definition, business case development, integration, data strategy, governance, and operational adoption
Strong understanding of enterprise data architecture, data quality, knowledge management, integrations, and compliance and regulatory frameworks
Demonstrated ability to architect enterprise data catalog and metadata management strategies, with knowledge of platforms
Excellent communication and interpersonal skills — ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making
AI domain knowledge required, including: Generative AI Skills, AI Agents and Agentic workflows, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP)
Experience working in fast-paced, dynamic environments with capability to manage ambiguity and tailor consulting deliverables to different customer maturity levels, from early adopters to AI-ready enterprises
Working knowledge of knowledge graph principles, semantic technologies, and standards (RDF, SPARQL) as applied to enterprise data architecture
Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience
Preferred
ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable
AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable
Background in one or more target industries — Financial Services, Healthcare, Public Sector, Manufacturing, or Retail — is highly desirable
Benefits
Work personas (flexible, remote, or required in office) assigned depending on the nature of the work and assigned work location
Company
ServiceNow
ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions.
10001+ employees
H1B Sponsorship
ServiceNow has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
71%
Represents job field similar to this job
Engineering and Development
Product Management
Customer Service and Support
Management and Executive
Accounting and Finance
Creatives and Design
Marketing
Sales
Human Resources
Legal and Compliance
Arts and Entertainment
Trends of Total Sponsorships
*2026 (308)
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)
Funding
Current Stage
Public CompanyTotal Funding
$4.08BKey Investors
Sequoia CapitalJMI Equity
2026-04-17Post Ipo Debt· $4B
2022-12-09Post Ipo Equity
2012-07-29IPO
Leadership Team
William McDermott
Chairman and CEO
Pat Casey
Chief Technology Officer & EVP of DevOps
Recent News
2026-08-06
2026-08-05
Company data provided by crunchbase