ServiceNow AI Architect

Kforce has a client in Austin, TX that is seeking a ServiceNow AI Architect. 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)
• 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
• 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
• 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
• AI/ML certifications (e.g. AWS Machine Learning Specialty, Google Professional Machine Learning Engineer, or equivalent) are desirable; ServiceNow certifications (Certified System Administrator, Certified Implementation Specialist, Certified Technical Architect) are desirable
• 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
• Background in one or more target industries - Financial Services, Healthcare, Public Sector, Manufacturing, or Retail - is highly desirable
• 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
• 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
• Excellent communication and interpersonal skills - ability to articulate technical and business value to C-level executives, align stakeholders, and influence strategic decision-making
• Broad familiarity with the ServiceNow platform and modules (ITSM, CSM, FSM, HRSD, App Engine), ideally including implementation or architecture experience