Principal Engineer – QA systems

About the Team:   Enterprise Systems is the backbone of GSK’s internal operations in Digital & Tech, enabling GSK Global Functions teams such as Finance, Procurement, HR, Legal, Compliance, WREF, CGA and Corporate Secretariat to run seamlessly. This team designs and delivers cutting-edge digital platforms that power critical processes, ensuring efficiency, compliance, and scalability across the enterprise.       Enterprise Systems Management & Business Operations delivers digital solutions that support Enterprise Systems running as a high-performing organisation. This team drives financial discipline, operational rigour and strategic alignment across the ES portfolio that safeguard GSK’s integrity and reputation globally. By joining this team, you’ll help shape systems that support thousands of employees worldwide, driving innovation and reliability in the tools that keep GSK moving forward. Job Purpose: The Senior Technical SME for QA Systems provides technical leadership across the Quality Assurance product family and technology platforms, including Veeva, SAP, Mendix and AI-enabled automation solutions. The role leads solution design, implementation, validation and troubleshooting, ensuring technical outputs align with approved architecture, product strategy and engineering standards. The role coordinates engineers, site teams, architects, Product Owners, Service Managers and suppliers, acting as the technical lead for complex delivery and operational issues. The job holder reviews technical specifications, configurations and test evidence, and leads root-cause analysis were operational, batch or data-integrity impact may exist. The role also combines hands-on AI-enabled & automation and software engineering with technical leadership to deliver reusable agents, automation components, integrations and engineering tools. Working closely with the Automation Manager from the Enterprise AI team, the role translates the Quality Assurance AI and automation strategy into practical solutions and drives the technical adoption of AI within the team.             Key Responsibilities: • Design, develop, test and implement AI-enabled automation and agents capabilities supporting the Quality Assurance platform development team, implementing technical solution designs and configurations in accordance with approved architecture and product strategy. • Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected. • Own technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence, and design or configure interfaces, workflows, recipes, data models and environments, writing or reviewing related specifications and test scripts. • Analyze logs, metrics, monitoring and system behavior to identify defects, performance issues and opportunities for improvement, and lead technical design and implementation across multiple projects, releases or sites. • Review and approve key technical specifications, design documents, configurations, test scripts and validation evidence, and assess technical risks to ensure mitigation addresses security, compliance, resilience, data integrity and supportability. • Provide technical direction during complex incidents, releases and stabilization and coordinate internal and supplier engineering resources. • Maintain technical standards and reusable engineering assets for the assigned product family or platform, and establish reusable artificial intelligence engineering standards, reference architectures and design patterns, while coaching engineers and suppliers. • Drive engineering lessons learned and cross-team continuous im