Workflow Automation & AI Engineer

Job Description What you’ll be doing Design, develop, and deploy workflow automations that streamline cross-functional business processes across Employee Services, IT, and People Operations. Partner with business stakeholders and IT teams to analyze complex workflows and reimagine them through automation, AI, and integration solutions. Build automations leveraging tools such as Zendesk, Workato, Google Workspace, Slack, and Workday - connecting systems to reduce manual work and improve employee experience. Experiment with AI-powered agents, copilots, and workflow automation frameworks to reduce repetitive tasks and enable higher value targets. Collaborate closely with the AI & Automation Director, AI Governance, and Enterprise Architecture teams to evaluate and pilot new AI tools responsibly and securely. Create reusable automation templates, integration patterns, and documentation to accelerate adoption of automation capabilities across Zendesk. Assess incoming automation requests, maintain and prioritise a backlog, and collaborate with leadership to align execution based on impact, effort, and strategic objectives. Support the development of performance metrics (ROI, time-savings, productivity gains) and continuous improvement of automations in production. Evangelize AI-first thinking by demonstrating how automation and AI can enhance service delivery and employee productivity. What you bring to the role 5 years of experience in workflow automation, integration engineering, or low-code/no-code development. Demonstrable hands-on experience designing, building, and maintaining automation workflows in one or more of the following: Zapier, n8n, Make (Integromat), Workato, UiPath, or comparable iPaaS / RPA tools. Familiarity with AI and machine learning APIs (e.g., OpenAI, Google Vertex AI, Anthropic) and prompt design principles. Demonstrated expertise in ITSM processes (incident, request, change, service catalog) and HR operations workflows (onboarding, offboarding, payroll, benefits) in a large enterprise environment. Hands-on experience with enterprise ITSM/ESM SaaS platforms (including configuration, integration, automation, reporting) ensuring controls, resilience, governance and scalability. Experience working with REST APIs, JSON, and webhooks to integrate SaaS systems. Solid scripting or programming fundamentals (Python, JavaScript, or equivalent). Comfort operating in agile environments with rapid prototyping, iteration, and stakeholder feedback loops. Exceptional analytical, problem-solving, and communication skills; able to translate business needs into scalable automation solutions. Basic Qualifications Bachelor’s degree in Computer Science, Information Systems, or equivalent practical experience. 3–5 years of hands-on experience designing and deploying automations in enterprise environments. Preferred Qualifications Hands-on experience deploying or integrating major enterprise SaaS platforms - for example: Zendesk, Workday, Google Workspace, Slack and familiarity with related ecosystems (e.g., identity/authn, API-connectors, data flows). Strong familiarity with AI-agent/LLM orchestration frameworks (for example LangChain, CrewAI, or equivalent) - including designing conversational or task-oriented agents, integrating external tools/APIs, and operationalising them in production-grade environments. Demonstrated ability to measure automation or AI-driven initiatives using meaningful metrics such as process time-savings, SLA/XLA improvement, error-reduction, employee satisfaction or user adoption rates. Deep understanding of data privacy, governance, and responsible AI practices — including how to embed controls, auditability, vendor risk, bias mitigation and privacy by design into automation/AI initiatives. Proven experience operating in a global, distributed enterprise environment — including multi-region, multilingual, hybrid infrastructure (cloud on-premises), and managing cross-regional ... (truncated, view full listing at source)