AI & Automation Graduate Developer

AI & Automation Graduate Developer

We are looking for an enthusiastic AI & Automation Graduate Developer to help develop and expand AI-powered solutions across the business. This is an exciting opportunity to gain hands-on experience with modern AI technologies while working on real-world applications that support operations, engineering, trading, and business users.

The successful candidate will work alongside software developers, data engineers, and business stakeholders to develop AI assistants, automation solutions, knowledge management platforms, and intelligent support tools.

This role offers the opportunity to work on enterprise-scale AI initiatives using Microsoft Copilot, Azure AI, automation platforms, and Large Language Models (LLMs), helping transform how employees interact with systems, knowledge, and operational data.

About Sembcorp Group

Wilton International, Teesside

Responsibilities

• Support the development of AI-powered chatbots and virtual assistants.
• Help build and enhance AI agents using Microsoft Copilot Studio and Azure AI services.
• Assist with the design and implementation of Retrieval Augmented Generation (RAG) solutions using enterprise knowledge sources.
• Develop integrations between AI solutions and existing business systems.
• Assist with knowledge base creation, document indexing, and intelligent search capabilities.
• Support the development of exception monitoring and automated decision-support tools.
• Work with SQL databases, APIs, cloud services, and enterprise data platforms.
• Test, document, and improve AI solutions before production deployment.
• Follow Responsible AI, Security by Design, and data governance principles when developing AI solutions.
• Research emerging AI technologies and identify opportunities for operational and commercial value.
• Collaborate with developers and stakeholders to understand requirements and deliver solutions.
• Participate in Agile development, sprint planning, testing, and release activities.
• Power Platform
• SQL Server
• Azure DevOps
• Knowledge Management Assistant

Requirements

Digital Development Manager

• Has a strong desire to improve processes through automation and innovation.
• Demonstrates initiative and takes ownership of assigned tasks.
• Microsoft Teams and Microsoft 365
• Azure Storage
• Azure AI Search
• Git and Source Control
• Exception Management Agent
• Copilot-Powered Employee Self-Service Assistant

Preferred

• Passionate about Artificial Intelligence and emerging technologies.
• Enjoys solving real-world business problems.
• Curious and eager to learn new technologies.
• Comfortable working with both technical and non-technical stakeholders.
• Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
• Knowledge of Python, C#, JavaScript, or similar programming languages.
• Understanding of AI concepts including Large Language Models (LLMs), Generative AI, Machine Learning, Prompt Engineering, and Retrieval Augmented Generation (RAG).
• Familiarity with Microsoft Azure or other cloud platforms.
• Experience working with SQL databases and APIs.
• Interest in automation, process optimisation, and digital transformation.
• Strong analytical, problem-solving, and communication skills.
• Ability to learn quickly and adapt to new technologies.
• Technologies You'll Work With
• Microsoft Copilot Studio / Azure AI Services
• Intelligent Document Search & Analytics
• Engineering Knowledge Search Platform
• Automated Incident Investigation Assistant

Benefits

• Hands-on experience delivering AI solutions in a live business environment.
• Mentoring from experienced software and platform engineers.
• Exposure to cloud architecture, enterprise systems, and modern software development practices.
• Experience designing and deploying AI assistants and intelligent automation solutions.
• Opportunity to deliver AI solutions used by operations, engineering, trading, and corporate teams across multiple UK sites.
• The chance to shape and influence the future AI strategy of the organisation.
• Experience delivering projects that provide measurable operational and commercial value.
• Exposure to Security by Design, DevOps, enterprise architecture, and AI governance practices.

Example Projects

• AI Helpdesk Chatbot
• UMIS Historian AI Assistant