On-Site AI & Smart Manufacturing Engineer

GlaxoSmithKline plc

Ware

Vor Ort

GBP 90.000 - 120.000

Vollzeit

vor 46 Stunden

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Zusammenfassung

GlaxoSmithKline plc in Ware, Hertfordshire, seeks a Technical Specialist to lead on-site AI-enabled digital solutions within Global Supply Chain. You will embed with site teams to translate opportunities into PoCs, MVPs and scalable products, collaborating with global product teams to drive industrialization and lifecycle ownership.

This role requires strong software engineering, data, and AI capabilities, with emphasis on governance, cybersecurity, and GxP in a highly regulated manufacturing

Qualifikationen

Relevant Degree (eg; Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Technology, Manufacturing Systems, or related technical discipline).
Experience delivering AI, Data & Analytics, Smart Manufacturing, and/or Digital transformation initiatives within manufacturing and/or supply chain environments.
Strong software engineering skills and experience with modern application development frameworks (proficiency in Python or other relevant programming languages is desirable but not mandatory).
Experience with Generative AI, AI agents, prompt engineering, Retrieval‑Augmented Generation (RAG), and AI‑assisted development approaches.
Knowledge of manufacturing / supply‑chain operations, business processes, and operational technology environments.
Experience working directly with business stakeholders to identify, shape, and deliver technology solutions.

Aufgaben

Embed with strategic GSC sites and business teams to understand operational challenges, workflows, data, constraints, and high-value opportunities.
Translate priority Smart Manufacturing, AI, Data and Digital opportunities into clearly framed, measurable use cases and executable technical solutions.
Design, build and validate working PoCs, PoVs and MVPs using real site data, systems and workflows, with delivery measured in days or weeks rather than extended discovery cycles.
Provide hands‑on engineering across AI, data, integration, applications and automation, using AI‑assisted development and agent‑based workflows where appropriate.
Make evidence‑based continue, adapt or stop recommendations based on demonstrated business value, technical feasibility, adoption potential, risk and scalability.
Incorporate GSK requirements for Code Orange, Responsible AI, cybersecurity, data governance, privacy, GxP and architecture governance from the start of each engagement.
Partner with the respective GSK & GSC product teams to transition validated solutions for industrialization, scaling, operational support and lifecycle ownership.
Resolve deployment barriers across legacy systems, fragmented data, integration, security, compliance and local operating processes in collaboration with site and product teams.
Convert site‑specific learning into reusable agents, integration patterns, prompt templates, reference architectures and product requirements that benefit other GSC strategic sites.
Build site capability through collaborative delivery, technical coaching, documentation and knowledge transfer, while providing structured feedback to GSK & GSC product and platform roadmaps.

Kenntnisse

Agile Methodology

Cross‑Functional Teamwork

Data Analysis

Design Thinking

DevOps

Prioritization

Product Development Research

Product Roadmapping

Project Management

Return on Investment (ROI)

Software Development

Strategy Deployment

User Experience (UX)

User Interface (UI) Design

Ausbildung

Relevant Degree (e.g.; Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Technology, Manufacturing Systems, or related technical discipline)

Tools

Python

Jobbeschreibung