AI Solutions Engineer

We are seeking a capable and pragmatic AI Solutions Engineer to use Large Language Models (LLMs) and existing AI tools to deliver practical business solutions and drive digital transformation with our stakeholders.

Job Responsibilities

• Engage with stakeholders across departments — including site operations, procurement, project management, and corporate functions — to identify pain points and opportunities where AI can drive meaningful improvement.
• Design, prototype, and implement practical AI-powered solutions, primarily using LLMs, prompt engineering, API integrations, and workflow automation.
• Evaluate, recommend, and customize suitable AI tools or platforms; conduct light to medium coding (Python, JavaScript/TypeScript, or similar) to integrate, adapt, or extend solutions as needed.
• Collaborate with in-house developers and digital delivery specialists to integrate AI solutions into existing applications and business processes, supporting testing, deployment, and handover.
• Evaluate and collaborate with external technology specialists and AI vendors to assess emerging tools, co-develop solutions, and stay ahead of developments in the AI landscape.
• Contribute to and take ownership of the company's AI strategy and roadmap — identifying priority use cases, sequencing initiatives, and translating them into actionable delivery plans in alignment with the Head of Digital.
• Monitor solution performance, iterate on output quality and usability, and maintain compliance with company standards on data security, privacy, and responsible AI usage.
• Document AI solutions, workflows, and lessons learned to build institutional knowledge and support team capability growth.
• Stay current with developments in the AI and LLM landscape, proactively identifying new tools or approaches that could benefit the organization.

Job Requirements

• Degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related discipline. Candidates with a background in Civil, Structural, or Construction Engineering with demonstrated AI/software development experience are equally welcome.
• At least 2 years of relevant experience implementing practical AI or LLM-based solutions for business applications.
• Candidates with experience in AWS Bedrock or similar managed AI/LLM platforms (e.g. Azure OpenAI, Google Vertex AI).
• Experience with AI agent frameworks or orchestration tools such as LangChain, LlamaIndex, LangGraph, or similar.
• Familiarity with cost and latency optimisation techniques for LLM-based applications (e.g. model selection, prompt caching, batching, and performance benchmarking).
• Good working knowledge of LLMs, prompt engineering, AI workflow design, and API integration.
• Hands-on coding experience in Python, with familiarity in working with APIs and system integration.
• Strong analytical and problem-solving skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
• Awareness of data privacy principles and responsible AI practices.