Our Client 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
Requirements
- 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
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