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starcompliance

starcompliance - Lead Design Engineer - UX/UI and AI

York, United Kingdom, Hybrid2d ago
In OfficeStaffEMEASoftwareGraphic DesignerProduct DesignerGovernanceCoachingReactTypeScriptStorybookDocumentation

Requirements

• Actively use AI-assisted engineering tools as part of their daily workflows. • StarCompliance is seeking a Lead Design Engineer – AI Product Experience who will shape how user experiences are designed, prototyped, and delivered across our engineering organisation. This role is responsible for bringing together user experience design, frontend engineering, and AI-assisted development to create scalable product experience standards that can be consistently applied by both engineers and AI agents. • This is not a traditional UX design or UI engineering role. The successful candidate will operate as a highly technical, hands-on design engineering leader focused on evolving our design system for agentic consumption, creating working prototypes in place of static design handovers, and ensuring that accessibility, usability, and consistency are embedded directly into our frontend foundations. • The role will work closely with Software Engineering, Product, Architecture, Platform Engineering, and AI Enablement teams to establish reusable components, interaction patterns, agent instructions, and governance that support faster, more consistent, and increasingly autonomous product delivery. • Ensure user-centred design principles remain embedded within an increasingly automated software development process. • Champion accessible and inclusive design, ensuring accessibility requirements are built into components, patterns, and automated validation. • Use customer feedback, product analytics, usability evaluation, and telemetry to improve product experiences. • Ensure delivery speed does not come at the expense of usability, consistency, maintainability, or user trust. • Technical Leadership & Governance • Lead the Design System Forum, bringing together Product, Engineering, and Architecture to govern shared standards and prioritise the continued evolution of the design system. • Lead and develop a blended team of UI Engineers across permanent and consultancy partner resources, with responsibility for performance, workload allocation, delivery, and capability development. • Act as StarCompliance’s technical authority for design engineering and frontend experience, providing hands-on guidance and representing the discipline within relevant governance forums. • Coach Product Managers and engineers in prototype-led discovery, AI-assisted development, and the effective use of shared frontend foundations. • Strong background in design engineering, frontend engineering, or user experience design. • Hands-on experience building modern React and TypeScript applications. • Experience creating or governing enterprise design systems, including component architecture, design tokens, and interaction patterns. • Practical experience using AI-assisted development tools and supporting agentic software delivery workflows. • Strong understanding of accessibility, inclusive design, and working prototype development. • Strong stakeholder communication, technical leadership, and people management capability. • Experience within SaaS, enterprise, or regulated software environments. • Knowledge of Storybook, visual regression testing, automated accessibility testing, and frontend quality tooling. • Experience managing permanent employees and consultancy partner resources. • Familiarity with product analytics, usability testing, and behavioural telemetry. • StarCompliance Background Checks • All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information.  To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Responsibilities

• Design System & Frontend Foundations • Own the strategy, architecture, and ongoing evolution of StarCompliance’s enterprise design system, ensuring it supports consistent delivery across products and teams. • Develop the design system into an AI-consumable platform that can be reliably used by engineers, coding assistants, and autonomous development agents. • Define reusable components, design tokens, interaction patterns, application layouts, and accessibility standards. • Create clear documentation, examples, constraints, and validation mechanisms that enable reliable agent-generated user interfaces. • Maintain alignment between the design system, shared frontend foundations, and StarCompliance’s wider technical architecture. • Design Engineering & Prototyping • Translate product opportunities, user needs, and business requirements into working prototypes rather than relying on static design handovers. • Use code and AI-assisted development tools to create realistic product experiences that can be tested and refined with users. • Work with Product, customers, subject matter experts, and engineers to explore workflows, validate solutions, and improve concepts before production delivery. • Define interaction models for complex compliance workflows, data-intensive applications, and AI-enabled product capabilities. • Agentic Product Development • Define how AI agents should interpret product intent and generate user interfaces using approved components and experience standards. • Create and maintain agent instructions, reference implementations, rules, and machine-readable context for frontend development. • Partner with AI Enablement and Engineering teams to embed design system knowledge into agentic development workflows. • Establish governance for agent-generated interfaces, including accessibility validation, visual regression testing, and component conformance. • Review agent outputs and improve the components, guidance, and context required to produce reliable results.

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