Technical Architect, AI-Powered Customer Experience
Customer experience is being transformed by AI-driven innovation. At Zendesk, we’re not just responding to that shift — we’re leading it. As we expand our AI-powered Resolution Platform and deepen our Professional Services capabilities, the Technical Architect, AI-Powered Customer Experience role is critical to helping customers design, implement, and scale intelligent customer service solutions that deliver measurable business value.
As a technical expert, solution designer, and trusted advisor, you will help customers translate business goals into scalable AI-first architectures. You’ll lead discovery, shape solution strategy, remove technical roadblocks, and guide customers toward successful adoption of Zendesk AI capabilities.
Overarching Objective for the Role
- Accelerate customers’ time-to-value by designing and enabling AI-first Zendesk solutions that drive adoption, automation, and measurable business impact from discovery through scale.
- Be the customer’s AI technical architect. Turn business goals into the right architecture, integrations, workflows, and AI design choices.
- Lead high-quality solution discovery and delivery. Run technical discovery sessions, define solution scope, and guide customers through implementation with clarity and confidence.
- Remove blockers fast. Anticipate risks, resolve constraints, and keep customer solutions moving toward successful outcomes.
How You’ll Make an Impact
Strategic Accountabilities
- AI Solution Architecture: Design scalable, supportable, and secure AI-first architectures that enable automation, self-service, agent assist, intelligent routing, and other Zendesk AI use cases.
- AI Adoption Enablement: Guide customers through rollout planning, change considerations, and operational readiness to support long-term AI adoption while leveraging AI tools to enhance individual and team workflows for greater efficiency.
- Outcome Orientation: Ensure solution decisions are tied to measurable improvements in containment, deflection, productivity, resolution speed, customer satisfaction, and operational efficiency.
- Technical Discovery & Use Case Definition: Lead customer-facing discovery sessions to understand business challenges, technical constraints, and high-value AI opportunities.
- Customer Advisory: Act as a trusted technical advisor, helping customers make informed decisions about architecture, integrations, data readiness, and implementation tradeoffs.
- Implementation Leadership: Partner with delivery teams to translate solution designs into successful implementations, ensuring technical quality, alignment to scope, and strong execution.
- Cross-Functional Collaboration: Work closely with Sales, Customer Success, Support, Product, and Professional Services to align on customer strategy, risks, dependencies, and roadmap considerations.
- Integration & Extensibility: Identify opportunities to extend Zendesk through APIs, app framework solutions, automation, and custom integrations where needed.
- Problem Solving & Innovation: Diagnose product gaps, technical constraints, or workflow limitations and recommend validated workarounds or design alternatives that preserve business outcomes.
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.
Strategic Skills & Expertise
- Communication Skills: Excellent verbal and written communication skills with the ability to explain complex AI concepts clearly to both technical and executive audiences in English and German.
- AI-First Thinking: Strong understanding of how AI capabilities can be applied across the customer service journey to improve efficiency, quality, and experience
- Consultative Technical Leadership: Ability to lead complex customer conversations, build trust quickly, and shape technical direction in ambiguous environments.
- Solution Architecture: Proven ability to design end-to-end scalable, maintainable AI architectures
- Delivery Mindset: Comfortable balancing technical scope, customer expectations, dependencies, and timelines in a consulting environment.
- Problem Solving: Strong analytical thinking and practical judgment to evaluate tradeoffs and recommend solutions that work in the real world.
- Adaptability: Ability to thrive in dynamic, fast-moving environments where priorities, requirements, and constraints may evolve.
- Continuous Learning: Commitment to staying current on Zendesk capabilities, AI trends, customer service transformation, and modern integration patterns.
Qualifications
Required
- 5+ years in architecture, machine learning engineering, solutions architecture, or technical consulting
- Experience designing and delivering AI/ML solutions in production
- Experience with AI-powered service tools, automation platforms, or conversational AI solutions such as Decagon, Forethought, Ada, or similar
- Experience evaluating data readiness, governance, and operational readiness for AI solutions
- Experience in SaaS, enterprise software, or customer experience technology environments.
- Hands-on experience with RESTful APIs, integrations, and solution design across web, backend, and/or mobile environments.
- Experience leading customer discovery sessions and translating business requirements into technical architecture.
- Ability to present technical solutions to both technical teams and executive stakeholders.
- Strong stakeholder management, consulting, and collaboration skills.
- Bachelor’s degree in Computer Science, Engineering, Business, or equivalent professional experience.
- Ability to work in a hybrid environment and support customer needs across time zones as required.
- Fluency in English and German, with the ability to communicate clearly with technical and executive audiences
Preferred
- Experience in a SaaS Professional Services environment.
- Experience with Zendesk products at an Admin or Developer level, or similar CRM/CX platforms such as Salesforce, ServiceNow, Freshdesk, or Genesys.
- Familiarity with AI concepts relevant to CX, such as intent classification, routing, summarization, agent assist, knowledge grounding, and workflow orchestration.
- Experience designing proofs of concept and validating technical approaches before implementation.
- Strong project management and negotiation skills.
- Programming experience in languages such as JavaScript, Python, Ruby, Java, or C#.
- Zendesk Support Administrator Expert Certification
- Experience identifying product gaps and proposing workarounds or extensions using app frameworks or custom development.
