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

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

Full-Time 63000 - 77000 £ / year (est.) Hybrid
ServiceNow

At a Glance

  • Tasks: Drive AI partner growth and co-create innovative AI solutions.
  • Company: Join ServiceNow, a leader in AI-driven business transformation.
  • Benefits: Flexible work options, competitive salary, and professional development opportunities.
  • Other info: Collaborative environment with opportunities for career advancement.
  • Why this job: Be at the forefront of AI innovation and make a real impact.
  • Qualifications: 8+ years in technical consulting with deep AI/ML expertise.

The predicted salary is between 63000 - 77000 £ per year.

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow—helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

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:

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

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.
  • 8+ years pre-sales, solution architecture, or technical consulting experience with proven success leading technical discovery, POCs, and partner workshops.
  • 5+ years hands-on experience with AI/ML architecture, model development, and deployment; deep expertise in foundation models, agent frameworks, and RAG architectures.
  • Expert-level knowledge of enterprise platform architecture and AI capabilities; experience with cloud infrastructure (AWS, Azure, GCP).
  • Demonstrated understanding of the broader AI ecosystem beyond any single platform, including major AI providers and open-source frameworks.
  • Deep expertise in AI adoption patterns for at least two industry verticals (e.g., Financial Services, Healthcare, Manufacturing, Public Sector).
  • Proven experience engaging with CAIO/CDO/CTO-level technical executives and articulating complex AI concepts to diverse audiences.
  • Experience working with partner ecosystems (GSIs, SIs, ISVs) and understanding partner business models and co-selling dynamics.
  • Track record of external thought leadership including conference presentations, published content, or industry recognition.
  • Strong grounding in enterprise integrations and API-driven platforms (REST, authentication, data flows), with hands‑on experience across enterprise systems such as ITSM, HCM, ERP, and CRM.
  • Familiarity with enterprise agentic AI tools and coding harnesses.

Preferred & Standout Experience:

  • Experience with ServiceNow platform and Now Assist AI capabilities, AI Agents, and AI Agent Fabric.
  • Experience with agentic AI implementations, multi-agent systems, or autonomous workflow design.
  • Background in strategy consulting, product management, or technical advisory roles.
  • Experience in Federal government or regulated industries.
  • Hands‑on experience with prompt engineering, fine‑tuning, or model evaluation frameworks.
  • Experience with Moveworks, EmployeeWorks, or Agent Studio; Moveworks Academy coursework and Agent Studio Developer certification.

What This Role Does Not Do:

  • Own commercial contracts, pricing, or financial program management.
  • Own enterprise AI governance strategy, AI Control Tower positioning, or regulatory compliance mapping.
  • Replace partner-aligned Partner Technology Architects for holistic partner strategy.
  • Manage day‑to‑day partner relationships.
  • Provide 24/7 production support.
  • Carry or run In-Quarter customer deals.
  • Travel for partner, customer, and organizational activities up to 25%.

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location.

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law.

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or you are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.

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

ServiceNow is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Forward-Deployed AI Engineer role. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, access to cutting-edge AI technologies, and a commitment to work-life balance, making it an ideal environment for those seeking meaningful and rewarding careers.

ServiceNow

Contact Details:

ServiceNow Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Advisor Partner Technical Architect - AI Platform & Data (Moveworks) - UKI

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ServiceNow or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ServiceNow.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ServiceNow.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ServiceNow that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Advisor Partner Technical Architect - AI Platform & Data (Moveworks) - UKI

AI/ML Architecture Expertise
Strategic Business Development
Ecosystem-wide Thought Leadership
Agent Architecture Design
Model Selection
RAG Design
Multimodal AI

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ServiceNow.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ServiceNow and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at ServiceNow

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ServiceNow uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.