AI & Process Automation Engineer (Agents, Automation & Digitalisation)

- Designing, building, and deploying automation solutions using workflow orchestration tools, low-code platforms (Power Platform, Copilot Studio), scripting (Python), and AI-assisted tooling (e.g. Claude Code, LLM integrations) - Building and maintaining the scaffolding (templates, configuration, knowledge structures) that enables IAA teams to adopt automation tools safely and at scale - Creating enablement materials, onboarding paths, and usage patterns that allow non-engineers to leverage automation and low-code tools within governed boundaries - Operating as the technical interface between IAA business teams and the digitisation capability, reducing dependency on central IT for standard automation needs - Ensuring all automation solutions meet IAA’s governance standards and comply with Group Technology & Operations requirements - Embedding auditability, documentation, and appropriate human-in-the-loop controls into solution designs by default - Maintaining compliance with responsible AI principles where AI-based components are used - Ensuring solutions are maintainable, version-controlled, and handover-ready - Working within projects and cross-functional initiatives to identify, prioritise, and deliver automation and digitisation use cases across IAA capabilities - Training IAA staff on automation tools and self-service approaches - Driving awareness and adoption of digitisation opportunities with business stakeholders alongside the Capability Manager - Contributing to IAA’s strategic digitisation roadmap by surfacing opportunities, feasibility assessments, and lessons learned from delivery - Collaborating with GTO and other functions to align on standards and reuse enterprise capabilities - Process analysis and automation design — ability to assess workflows and identify digitisation opportunities - Technical Architecture and Solutioning - Ability to design and implement scalable technical architectures across automation, low-code, AI, and integration platforms. Skilled in defining solution components, data flows, APIs/connectors, security controls, deployment patterns, and reusable technical building blocks that ensure solutions are maintainable, extensible, and enterprise-ready. - Hands-on engineering/harness engineering with automation and low-code platforms (Power Platform, Copilot Studio, workflow orchestration tools) and AI-based tools (Claude Code, LLM integrations) - Software engineering fundamentals (Python, version control, CI/CD, configuration-as-code) - Ability to translate business process descriptions into technical solution designs without requiring deep domain expertise - Stakeholder engagement — communicating technical concepts to non-technical audiences, building trust - Governance-aware development — embedding controls, auditability, and quality standards into delivery - Project-based working — comfortable operating in transformation programmes alongside BAU - Organisational agility — navigating a large, regulated enterprise environment - Innovative thinking — identifying where automation and digitisation create genuine value vs. automation theatre - Dealing with ambiguity — comfort with experimentation and iterative approaches in evolving fields - Building networks — connecting across capabilities, regions, and functions to scale adoption Why Zurich At Zurich, we like to think outside the box and challenge the status quo. We take an optimistic approach by focusing on the positives and constantly asking What can go right? We are an equal opportunity employer who knows that each employee is unique - that’s what makes our team so great! Join us as we constantly explore new ways to protect our customers and the planet . - Location(s): ES - Barcelona - Remote working: Hybrid - Schedule: Full Time - Recruiter name: Laura Santamaría Rodríguez