Advisor Partner Technical Architect - AI Platform & Data (Moveworks) - UKI

Job Description

ServiceNow is seeking an Advisor Partner Technical Architect - AI Platform & Data (Moveworks) to drive AI-enabled partner growth through deep, L400-level AI/ML architecture expertise, strategic business development, and ecosystem-wide thought leadership. This is an Advisory technical Architect role focused on helping partners build differentiated AI-powered solutions on the ServiceNow platform - from agent architecture and model selection through RAG design, multimodal AI, and AI-first solution commercialization - with particular depth in Moveworks, EmployeeWorks, and Agent Studio.

As a Practice-aligned Advisor Partner Technical Architect within the AI Platform & Data Practice, you will be engaged where deep AI expertise is required - working alongside partner-aligned Partner Technology Architects and Partner Solution Engineers to shape commercially viable, technically excellent AI solutions. Your focus is on how to architect and design AI solutions that partners build - not how to govern AI at the enterprise level (which is owned by the Partner Technology Architect - Governance & Security through AI Control Tower).

Your expertise extends beyond ServiceNow capabilities to encompass the full AI ecosystem - foundation models, open-source frameworks, competing platforms - enabling you to guide partners on hybrid architectures and multi-vendor AI strategies that position ServiceNow as the enterprise AI platform of choice.

What you get to do in this role:

As an Advisor Partner Technology Architect - AI Platform & Data, you will serve as the go-to AI architecture expert across the partner ecosystem, driving deep technical co-innovation and commercial success for AI-powered partner solutions, and as the Moveworks technical authority for partners in your region.

AI Architecture & Solution Co-Creation

• Co-create AI-native architectures with partners, developing reference architectures, reusable patterns, and integration libraries that partners can extend and monetize.

• Provide L400-level expertise in agentic AI architectures including autonomous agent design, multi-agent orchestration, tool use patterns, and human-in-the-loop design patterns.

• Drive collaborative adoption of emerging AI technologies across agent frameworks, RAG architectures, multimodal AI, and foundation model integration.

• Build reusable co-innovation assets including solution templates, starter kits, scripts, demo environments, and vertical-specific architecture blueprints that enable partners and validate feasibility. Partners own delivery.

• Influence AI product architecture and roadmap based on partner ecosystem needs through formal feedback loops with product teams.

Moveworks Specialization

• Serve as the dee[ technical authority on Moveworks and EmployeeWorks for partners in your region, with command of platform internals, Agent Studio, integration patterns, and supported architectures.

• Guide partners through integration design with enterprise systems (ITSM, HCM, ERP, CRM), including authentication and data flows. Prototype and test approaches to validate feasibility, including when documentation is incomplete or a first approach fails.

• Enable partners to technically qualify, scope, position, and design Moveworks solutions independently, and to deploy EmployeeWorks and win new logos through partner-led motions.

• Route Moveworks product feedback and partner questions through the designated PTAG Moveworks lead, who holds the interface to the Moveworks business unit.

• Turn recurring partner issues and resolved problems into playbooks, reference architectures, and enablement content, and surface them to the Partner Design Studio for Pattern Library review.

Pipeline & Revenue Growth

• Lead AI technical workshops with partners and engage directly with CAIO/CDO/CTO stakeholders to co-design AI solution architectures.

• Execute strategic proofs of concept that prove AI business value and technical feasibility; deliver standard and tailored product demonstrations showcasing Now Assist, AI Agents, Moveworks, and platform AI capabilities.

• Remove technical obstacles at critical deal milestones; guide partners on competitive AI positioning and validate joint solution feasibility.

• Present AI architecture and strategy to executive audiences; facilitate cross-functional alignment across technical and business teams.

Partner AI Capability Building

• Design and deliver comprehensive AI architecture training programs, workshops, office hours, and executive briefings that build lasting partner capability in AI solution development.

• Mentor partner architects and internal team members; foster expertise in AI engineering, prompt design, agent development, and platform AI capabilities.

• Assess partner AI technical capabilities and identify gaps; develop capability maturation plans and AI competency models.

• Represent ServiceNow and partner AI innovation at industry events, conferences, and executive forums; contribute to AI thought leadership content.

Business Growth & Value Realization

• Collaborate with partner-aligned Partner Technology Architects on AI-specific joint business planning, aligning partner AI investments with market opportunity.

• Guide partners from AI concept to validated solution to scalable commercialization with clear monetization pathways.

• Connect AI architecture to measurable business outcomes (efficiency gains, revenue impact, ROI, time-to-value); develop AI-specific value narratives.

AI Ecosystem Intelligence

• Maintain expert-level knowledge of the broader AI ecosystem including major platforms (OpenAI, Google AI, Microsoft Copilot, AWS Bedrock, Anthropic) and open-source frameworks.

• Guide partners on hybrid AI architectures that leverage ServiceNow alongside other AI investments; understand multi-vendor orchestration patterns.

• Ensure AI solutions are designed with responsible AI principles including human-in-the-loop governance, safety guardrails, and testing rigour during development.

• Coordinate with Partner Technology Architect - Governance & Security for engagements requiring enterprise AI governance, AI Control Tower positioning, and regulatory compliance mapping.

How You Work

• Out-Quarter by design. You build partner capability and do not carry customer opportunities. In-Quarter engagement is limited to closing a documented partner gap, as a complement to SC Field.

• Engagement comes through the PTAG intake form, qualified and routed by the Practice within 48 hours. The Partner Manager remains the primary partner point of contact.

• You pull in Partner Solution Engineers and the Partner Design Studio for design standards, reference architectures, and Pattern Library contributions. Standards and published reference architectures are owned by PDS.

Success Measures

• Partner Practice Maturity - AI practice progression, pre-sales certification attainment, and readiness scores.

• Pipeline Influence - growth in AI partner-sourced and partner-influenced pipeline.

• Co-Created Offerings - number and quality of repeatable AI offerings co-developed with partners.

• Partner Self-Sufficiency - partner capability to independently position, demonstrate, and deploy AI solutions.

• Thought Leadership - conference presentations, published content, and external visibility.

• Executive Satisfaction - partner satisfaction with advisory engagement quality and strategic value.

Qualifications

To be successful in this role you have:

• 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

• 8+ years pre-sales, solution architecture, or technical consulting experience with proven success leading technical discovery, POCs, and partner workshops.

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