# Senior Technical SME and Engineer for Engineering, EHS & Sustainability **Company**: GlaxoSmithKline (GSK) **Location**: Bengaluru **Experience**: senior **Job type**: full-time **Category**: Engineering **Industry**: Healthcare **Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Technical-SME-and-Engineer---EHS---Sustainability_449067?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_354b2dcb-224 ## Description The Senior Technical SME and Engineer for Engineering, EHS & Sustainability provides technical leadership for a product family, technology platform, programme or group of sites. Responsibilities: - Implement technical solution designs and configurations in accordance with approved architecture and product strategy. - Own technical quality for the assigned scope, including specifications, design documentation, configuration records and technical validation evidence. - Keep EHS, engineering and sustainability system configuration under version control, peer-reviewed, and covered by repeatable tests. - Perform troubleshooting and root-cause analysis, with timely escalation where manufacturing batches, product quality, patient supply or data integrity may be affected. - Design or configure interfaces, workflows, recipes, data models and environments and write or review related specifications and test scripts. - Analyse logs, metrics, monitoring and system behaviour to identify defects, performance issues and opportunities for improvement. - Coach site engineers and super users and contribute to training, runbooks and knowledge articles. - 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. - Provide technical direction during complex incidents, releases and stabilisation and coordinate internal and supplier engineering resources. - Assess technical risks and ensure mitigation addresses security, compliance, resilience, data integrity and supportability. - Maintain technical standards and reusable engineering assets for the assigned product family or platform. - Support formal technical assurance, audits and inspections and ensure corrective actions are evidence based. - Drive engineering lessons learned and cross-team continuous improvement. - Lead the end-to-end technical design and implementation of secure, scalable AI and generative AI solutions. - Define and approve AI evaluation strategies, acceptance criteria, test evidence and production-readiness decisions. - Ensure appropriate controls for responsible AI, data privacy, cybersecurity, human oversight, traceability and regulated change. - Lead complex investigations into AI quality, retrieval, data, integration and operational issues. - Establish reusable AI engineering standards, reference architectures and design patterns, while coaching engineers and suppliers. Requirements: - Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, Automation, Data, Life Sciences or a relevant technical discipline, or equivalent practical experience. - Relevant technical, cloud, integration, automation, data, validation, cyber security or engineering certifications are desirable. - Typically 7+ years of hands-on technical engineering experience in complex enterprise or operational technology environments. - Proven experience leading technical design and implementation for a product family, platform, programme or multiple sites. - Experience reviewing and approving specifications, design documents, configurations, test scripts and technical validation evidence. - Demonstrated leadership of complex troubleshooting and root-cause investigations across systems, interfaces, workflows, data and infrastructure. - Experience coordinating internal engineers, site teams, vendors and specialist partners through design, deployment and stabilisation. - Experience assessing technical risk and ensuring security, data integrity, resilience, compliance and supportability requirements are met. - Experience coaching engineers and translating lessons learned into reusable standards, patterns and knowledge. - Experience supporting audits, inspections or formal technical assurance activities. - Experience leading at least one AI or generative AI solution from design through testing, controlled release and operational support. ## Skills ### Required - Agile Methodology - Backlogs - Cross-Functional Teamwork - Design Thinking - DevOps - Process Diagrams - Product Strategies - Project Management - Requirements Gathering - Services Management - Software Development - User Experience (UX) - User Research - User Story ### Nice to have - Python - SQL - REST APIs - data pipelines - source-control practices such as Git - Strong analytical and structured problem-solving skills - Ability to translate architecture and product direction into clear technical designs and implementation activities - Clear technical writing and disciplined maintenance of specifications, designs, test evidence and configuration records - Understanding of interfaces, workflows, data, environments, monitoring and operational support - Awareness of security, quality, validation, data integrity, resilience and change controls - Ability to collaborate across global business, site, engineering, architecture, product, service and supplier teams - Continuous-improvement mindset with emphasis on standardisation, reuse, automation and knowledge sharing - Technical leadership and ability to challenge designs constructively - Coaching and knowledge-transfer capability - Confidence communicating technical risk and recommendations to governance and senior stakeholders - Strong applied knowledge of generative AI, large language models, machine learning and retrieval-augmented generation - Ability to architect solutions integrating AI models with enterprise data, applications, APIs and workflows - Strong understanding of AI evaluation, including correctness, groundedness, relevance, consistency, safety and regression testing - Practical knowledge of Python, SQL, REST APIs, data pipelines and source-control practices such as Git - Strong understanding of responsible AI, privacy, cybersecurity, prompt injection, data leakage and human-in-the-loop controls --- Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Principal-Technical-SME-and-Engineer---EHS---Sustainability_449067?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)