Solution Architect - AI & Data

ServiceNow • Atlanta, GA

3d • Hybrid

About The Position

As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how enterprise organizations adopt AI at the core of their operating models. This role goes beyond implementation — it bridges C-suite advisory, enterprise architecture, and organizational change to deliver lasting transformation outcomes. The Solution Architect - AI & Data will operate at the intersection of AI strategy, solution architecture, and customer success — leading engagements from transformation vision and use-case definition through architecture design, governance, adoption, and ongoing value realization.

Requirements

• 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.
• ServiceNow domain knowledge, including: Now Assist and Generative AI Skills / Skill Kit, AI Agents and Agentic workflows, AI Control Tower, Retrieval-Augmented Generation (RAG), Knowledge Graphs, Agent-to-Agent (A2A), and Model Context Protocol (MCP).
• 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.
• 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.

Nice To Haves

• 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.

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 operationalizing 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 programs, 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.

Benefits

• ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®.
• Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
• Join us as we pursue our purpose to make the world work better for everyone.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed