Senior Platform Architect (Presales)
AI in this role
Job Description
Position Overview
As a Senior Platform Architect, you will serve as the technical strategist helping our largest enterprise customers and prospects unlock the full potential of the AI-powered Zendesk Resolution Platform. You will design and architect next-generation service solutions that drive measurable business outcomes, transforming traditional support centers into highly efficient, Autonomous Service Workforces.
Simultaneously, you will act as a critical technical advisor to our enterprise sales organization, providing best practices and technical architecture guidance, driving POC’s and helping secure the technical win to exceed new bookings, expansion, and customer retention targets.
Main Responsibilities
Strategic Value & Executive Advisory
- Executive Technical Value: Partner with sales engineers , account executives and business consultants to drive strategic discussions, effectively communicating complex technical architecture and solutioning along with the business value of AI to C-suite and director-level executives.
- ARR & Pipeline Impact: Serve as a high-impact technical overlay resource, driving ARR through automated resolutions by conducting strategic technical discovery, scoping, and successfully managing complex Proof of Concepts (POCs) for key expansion and cross-sell opportunities.
- Positioning Zendesk Headless : You would be responsible to demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology.
AI & Platform Architecture
- Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows, helping customers reach and exceed an 80% automated resolution target.
- Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns.
- Knowledge & Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive) into the customer’s AI ecosystem without data migration.
Cross-Functional Leadership & Delivery
- The "Road to 80%" Methodology: Lead the critical technical hand-off between pre-sales and post-sales implementation teams, ensuring long-term AI deployment success, continuous quality assurance via AI Quality Scores, and ongoing expansion.
- Subject Matter Expert (SME): Act as the organizational authority on Zendesk platform security, planetary scalability, custom data models, and Zendesk Copilot implementations.
- Product Liaison: Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture.
Required Qualifications
Core Experience & Business Acumen
- Solutions Architecture & Consulting: 8+ years of experience in enterprise system/solution architecture, technical presales, or professional IT consulting services.
- AI & Large Language Model (LLM) Literacy: Exposure to or hands-on experience with experience architecting and deploying generative AI solutions, prompt engineering, Retrieval-Augmented Generation (RAG) frameworks, and Agentic AI reasoning systems.
- Modern API & Integration Proficiency: Advanced expertise with RESTful APIs, JSON implementations, web services, database design, data modeling, and Model Context Protocol (MCP) configurations.
Infrastructure & Security
- Cloud Ecosystems & iPaaS: Deep familiarity with cloud environments (AWS, Azure, GCP) and experience orchestrating enterprise-wide data utilizing iPaaS applications.
- Enterprise Security & Compliance: Comprehensive knowledge of Single Sign-On (SSO) configurations, OAuth, advanced data privacy frameworks, and token-based AI authentication capabilities.
- Technical Web Stack: Solid understanding of frontend and scripting capabilities (HTML, CSS, JavaScript) and modern SaaS application development architectures.
Soft Skills & Leadership
- Exceptional Communication: Proven track record of influencing senior stakeholders, distilling highly technical AI concepts into business outcomes, and delivering flawless technical presentations both onsite and remotely.
- Thriving in Fast-Paced Environments: Ability to prioritize multiple complex, concurrent transformation accounts while maintaining a proactive, can-do attitude.
Desirable Qualifications
- Enterprise Software Implementation: Previous experience managing large-scale implementations of enterprise class Customer Service software or ITSM platforms.
- Advanced Analytics & Business Intelligence: Experience utilizing advanced diagnostic analytics systems for root-cause and trend analysis.
- Modern Frontend Frameworks: Familiarity with modern JavaScript frameworks such as React, Vue, or Node.js to assist in custom app development.
- Practical experience using AI-augmented tooling (e.g., Claude Code, Cursor) to enhance daily productivity, scale technical output, and model AI best practices.
- Strong sales acumen and prior experience in a technical pre-sales or solutions architecture role within an enterprise SaaS or CX environment. Experience with platforms such as Salesforce Service Cloud, ServiceNow, Intercom Fin, or Freshworks is highly desirable.
#LI-UK1
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here.
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.
How we rate this
Senior Platform Architect (Presales) at Zendesk rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, Claude, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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